Triple
T7424142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taye Diggs |
E171324
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Inspector Terrence English in Murder in the First
Inspector Terrence English is a driven and morally conflicted San Francisco homicide detective who serves as one of the central protagonists in the crime drama series "Murder in the First."
|
E663258
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Inspector Terrence English in Murder in the First | Statement: [Taye Diggs, playedCharacter, Inspector Terrence English in Murder in the First]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inspector Terrence English in Murder in the First Context triple: [Taye Diggs, playedCharacter, Inspector Terrence English in Murder in the First]
-
A.
Inspector Wexford in The Ruth Rendell Mysteries
Inspector Wexford in The Ruth Rendell Mysteries is the television portrayal of Ruth Rendell’s thoughtful, methodical Chief Inspector Reg Wexford, brought to life in a long-running British crime drama series.
-
B.
Chief Superintendent Reginald Bright in Endeavour
Chief Superintendent Reginald Bright in *Endeavour* is a senior, old-school Oxford police officer known for his formality, integrity, and evolving mentorship of the young detective Endeavour Morse.
-
C.
Inspector Frank Bumstead
Inspector Frank Bumstead is a weary, morally driven police detective in the neo-noir science fiction film "Dark City," who gradually uncovers the disturbing truth behind the city's reality.
-
D.
Chief Inspector Hubbard
Chief Inspector Hubbard is the shrewd, methodical Scotland Yard detective who unravels the murder plot in Alfred Hitchcock’s film "Dial M for Murder."
-
E.
Inspector Cockrill
Inspector Cockrill is a fictional, sharp-witted British police detective who appears as the central sleuth in several classic mystery novels by Christianna Brand.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Inspector Terrence English in Murder in the First Triple: [Taye Diggs, playedCharacter, Inspector Terrence English in Murder in the First]
Generated description
Inspector Terrence English is a driven and morally conflicted San Francisco homicide detective who serves as one of the central protagonists in the crime drama series "Murder in the First."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inspector Terrence English in Murder in the First Target entity description: Inspector Terrence English is a driven and morally conflicted San Francisco homicide detective who serves as one of the central protagonists in the crime drama series "Murder in the First."
-
A.
Inspector Wexford in The Ruth Rendell Mysteries
Inspector Wexford in The Ruth Rendell Mysteries is the television portrayal of Ruth Rendell’s thoughtful, methodical Chief Inspector Reg Wexford, brought to life in a long-running British crime drama series.
-
B.
Chief Superintendent Reginald Bright in Endeavour
Chief Superintendent Reginald Bright in *Endeavour* is a senior, old-school Oxford police officer known for his formality, integrity, and evolving mentorship of the young detective Endeavour Morse.
-
C.
Inspector Frank Bumstead
Inspector Frank Bumstead is a weary, morally driven police detective in the neo-noir science fiction film "Dark City," who gradually uncovers the disturbing truth behind the city's reality.
-
D.
Chief Inspector Hubbard
Chief Inspector Hubbard is the shrewd, methodical Scotland Yard detective who unravels the murder plot in Alfred Hitchcock’s film "Dial M for Murder."
-
E.
Inspector Cockrill
Inspector Cockrill is a fictional, sharp-witted British police detective who appears as the central sleuth in several classic mystery novels by Christianna Brand.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f302b33481908eae877970f2bbdf |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f048e0c819080f51784e1099cac |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81fd379cc81908b52c45fddea9870 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8209b7fa48190aea45a6b21ad8de1 |
completed | March 28, 2026, 6:40 p.m. |
Created at: March 27, 2026, 3:12 p.m.