Triple
T9578486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Division |
E231108
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Kate McCafferty
Kate McCafferty is the tough, principled captain of the San Francisco Police Department’s women-led investigative team in the television drama "The Division."
|
E832464
|
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: Kate McCafferty | Statement: [The Division, mainCharacter, Kate McCafferty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate McCafferty Context triple: [The Division, mainCharacter, Kate McCafferty]
-
A.
Rebecca McGuinness
Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
-
B.
Kate Kavanagh
Kate Kavanagh is a fictional character best known as Anastasia Steele’s outspoken journalist roommate and friend in the "Fifty Shades of Grey" series.
-
C.
Kate Mullen
Kate Mullen is the central protagonist of the work "Ransom," around whom the main narrative and its conflicts revolve.
-
D.
Sarah O’Meara
Sarah O’Meara is known as the spouse of Australian film director Paul Cox.
-
E.
Kate Corrigan
Kate Corrigan is a key human advisor and field coordinator in the Hellboy comics, serving as a scholar and senior operative within the Bureau for Paranormal Research and Defense.
- 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: Kate McCafferty Triple: [The Division, mainCharacter, Kate McCafferty]
Generated description
Kate McCafferty is the tough, principled captain of the San Francisco Police Department’s women-led investigative team in the television drama "The Division."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate McCafferty Target entity description: Kate McCafferty is the tough, principled captain of the San Francisco Police Department’s women-led investigative team in the television drama "The Division."
-
A.
Rebecca McGuinness
Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
-
B.
Kate Kavanagh
Kate Kavanagh is a fictional character best known as Anastasia Steele’s outspoken journalist roommate and friend in the "Fifty Shades of Grey" series.
-
C.
Kate Mullen
Kate Mullen is the central protagonist of the work "Ransom," around whom the main narrative and its conflicts revolve.
-
D.
Sarah O’Meara
Sarah O’Meara is known as the spouse of Australian film director Paul Cox.
-
E.
Kate Corrigan
Kate Corrigan is a key human advisor and field coordinator in the Hellboy comics, serving as a scholar and senior operative within the Bureau for Paranormal Research and Defense.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23caf70f8819090ba25c4395c3de2 |
completed | April 5, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69d23e6ca3908190b7ad7b932ab35ad7 |
completed | April 5, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d241020074819092bc2deea85a6ac0 |
completed | April 5, 2026, 11:01 a.m. |
Created at: March 30, 2026, 8:05 p.m.