Triple
T5142601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Cassavetes |
E115993
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | John Q |
E239186
|
NE FINISHED |
How this triple was built (2 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: John Q | Statement: [Nick Cassavetes, notableWork, John Q]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Q Context triple: [Nick Cassavetes, notableWork, John Q]
-
A.
John Q
chosen
John Q is a 2002 American drama-thriller film about a desperate father who takes a hospital emergency room hostage to secure a heart transplant for his critically ill son.
-
B.
John Q. Knox
John Q. Knox is an American atmospheric scientist and educator known for his work in meteorology and weather analysis.
-
C.
Jeb
Jeb is a masculine given name, often used as a diminutive of names like Jebediah or James.
-
D.
Tom Powers
Tom Powers is an actor known for his role in the film "Hellgate."
-
E.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787ff1c081909a6954aa76e12cbf |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfec5c108190a3882c25118179a7 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.