Triple
T9349489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive Owen |
E224977
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Croupier |
E244257
|
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: Croupier | Statement: [Clive Owen, notableWork, Croupier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Croupier Context triple: [Clive Owen, notableWork, Croupier]
-
A.
Croupier
chosen
Croupier is a 1998 British neo-noir drama film directed by Mike Hodges, known for its gritty portrayal of a casino dealer drawn into the criminal underworld.
-
B.
Teller
Teller is an American magician, illusionist, and silent half of the duo Penn & Teller, renowned for his innovative, often wordless approach to magic and performance.
-
C.
Teller
Teller is a small coastal city and Native village in western Alaska located on the Seward Peninsula.
-
D.
Johnny Quid
Johnny Quid is a drug-addicted, nihilistic rock musician and supposed-dead heir to a London crime boss in Guy Ritchie's film "RocknRolla."
-
E.
Mr. Vegas
Mr. Vegas is a Jamaican dancehall and reggae singer known for hits like "Heads High" and "Hot Wuk" and for his energetic, melodic deejay style.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f1198b88190adc0b01f7c1be36e |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e43c31008190b542a9c5aa33f30e |
completed | April 4, 2026, 10:13 a.m. |
Created at: March 30, 2026, 7:41 p.m.