Triple
T16105826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yen Tan |
E390735
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Outfit |
E724899
|
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: The Outfit | Statement: [Yen Tan, notableWork, The Outfit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Outfit Context triple: [Yen Tan, notableWork, The Outfit]
-
A.
The Outfit
chosen
The Outfit is a 2022 crime thriller film centered on a meticulous English tailor in Chicago who becomes entangled with dangerous mobsters over the course of a tense night.
-
B.
The Outfit
The Outfit is a 1973 American crime film, based on a Donald E. Westlake novel, that follows a professional thief seeking revenge against a powerful criminal syndicate.
-
C.
Stakeout
"Stakeout" is a 1987 American buddy-cop comedy thriller film starring Richard Dreyfuss and Emilio Estevez as detectives assigned to surveil an escaped convict’s ex-girlfriend.
-
D.
Machine Gun Corps
The Machine Gun Corps was a specialized British Army unit formed during World War I to provide concentrated machine-gun fire support on the battlefield.
-
E.
The Underbelly
The Underbelly is the seedy, lawless sewer quarter beneath the floating city of Dalaran in World of Warcraft, known for its black-market dealings, dangerous creatures, and PvP skirmishes.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba1e4c08190a90f5102e0038056 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.