Triple
T8668990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Hardcastle |
E205747
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Taggart
Taggart is a long-running Scottish television crime drama series centered on complex murder investigations led by the Glasgow police.
|
E750030
|
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: Taggart | Statement: [Diana Hardcastle, notableWork, Taggart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taggart Context triple: [Diana Hardcastle, notableWork, Taggart]
-
A.
Nash Bridges
Nash Bridges is an American television crime drama series set in San Francisco, starring Don Johnson as a charismatic police inspector.
-
B.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
-
C.
Detective Garrison
Detective Garrison is a fictional investigator who serves as the central sleuth unraveling the mystery in the film "Gorilla at Large."
-
D.
Detective Riley
Detective Riley is a supporting police investigator character in the 2016 psychological thriller film "The Girl on the Train," involved in unraveling the central mystery.
-
E.
T.J. Hooker (TV series)
T.J. Hooker is an American police drama television series from the 1980s starring William Shatner as a veteran cop training new recruits.
- 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: Taggart Triple: [Diana Hardcastle, notableWork, Taggart]
Generated description
Taggart is a long-running Scottish television crime drama series centered on complex murder investigations led by the Glasgow police.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taggart Target entity description: Taggart is a long-running Scottish television crime drama series centered on complex murder investigations led by the Glasgow police.
-
A.
Nash Bridges
Nash Bridges is an American television crime drama series set in San Francisco, starring Don Johnson as a charismatic police inspector.
-
B.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
-
C.
Detective Garrison
Detective Garrison is a fictional investigator who serves as the central sleuth unraveling the mystery in the film "Gorilla at Large."
-
D.
Detective Riley
Detective Riley is a supporting police investigator character in the 2016 psychological thriller film "The Girl on the Train," involved in unraveling the central mystery.
-
E.
T.J. Hooker (TV series)
T.J. Hooker is an American police drama television series from the 1980s starring William Shatner as a veteran cop training new recruits.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a48b548190b78259072b1224ee |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd1ca88c8190a3b2ca79a7204248 |
completed | April 2, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69cece8fcbcc8190832a66287bc8f833 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecff48600819086a15700cb947056 |
completed | April 2, 2026, 8:22 p.m. |
Created at: March 30, 2026, 6:31 p.m.