Triple
T17890953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas hold 'em poker (in the 2006 film) |
E447313
|
entity |
| Predicate | replacesGameFrom |
P129184
|
FINISHED |
| Object | baccarat game in Casino Royale (1953 novel) |
—
|
LITERAL 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: baccarat game in Casino Royale (1953 novel) | Statement: [Texas hold 'em poker (in the 2006 film), replacesGameFrom, baccarat game in Casino Royale (1953 novel)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesGameFrom Context triple: [Texas hold 'em poker (in the 2006 film), replacesGameFrom, baccarat game in Casino Royale (1953 novel)]
-
A.
replacesComponentOf
Indicates that one entity takes the place of a specific component within another entity, substituting for that component in its role or function.
-
B.
replacedPlatform
Indicates that one platform has been superseded or taken over by another platform.
-
C.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
D.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
E.
replacedPlayer
Indicates that one player has been substituted out of play and replaced by another player.
- F. None of above. chosen
Provenance (4 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:18 a.m.