Triple
T4502280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Craig |
E101248
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Knives Out |
E295988
|
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: Knives Out | Statement: [Daniel Craig, notableWork, Knives Out]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knives Out Context triple: [Daniel Craig, notableWork, Knives Out]
-
A.
Knives Out
chosen
Knives Out is a 2019 mystery film directed by Rian Johnson that revitalizes the classic whodunit genre with a star-studded ensemble cast and sharp social commentary.
-
B.
The Guilty
The Guilty is a British crime drama television series in which Katherine Kelly stars as a detective investigating the disappearance of a young boy.
-
C.
A Simple Favor
A Simple Favor is a 2018 darkly comedic mystery-thriller film centered on a mommy vlogger who investigates the sudden disappearance of her glamorous best friend.
-
D.
Only Murders in the Building
Only Murders in the Building is a comedic mystery television series about three true-crime-obsessed neighbors who start a podcast while investigating murders in their New York apartment building.
-
E.
Uncut Gems
Uncut Gems is a tense crime thriller film about a New York City jeweler and gambling addict whose high-stakes bets spiral out of control.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fb2bec8190b74b6a49d9475514 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f90d6a4819085d911de5443f111 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1 p.m.