Triple
T10366244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croupier |
E244257
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Les Healey |
E732983
|
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: Les Healey | Statement: [Croupier, editedBy, Les Healey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Healey Context triple: [Croupier, editedBy, Les Healey]
-
A.
Les Healey
chosen
Les Healey is a film editor best known for his work on the science fiction classic "Blade Runner."
-
B.
Daniel Heath
Daniel Heath is a songwriter and composer best known for co-writing the title track of the film "Big Eyes" with Lana Del Rey.
-
C.
Sam Healy
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
-
D.
John Hearne
John Hearne was an Irish constitutional lawyer and civil servant best known as the principal architect of the 1937 Constitution of Ireland.
-
E.
Leo Barnes
Leo Barnes is a former police sergeant turned security chief who becomes a key resistance figure fighting to end the annual Purge in the dystopian horror-thriller film series.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c8c7588190a31bac5b774155fe |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 6, 2026, noon