Triple
T17890966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas hold 'em poker (in the 2006 film) |
E447313
|
entity |
| Predicate | buyIn |
P129185
|
FINISHED |
| Object | $10 million (initial buy-in for James Bond) |
—
|
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: $10 million (initial buy-in for James Bond) | Statement: [Texas hold 'em poker (in the 2006 film), buyIn, $10 million (initial buy-in for James Bond)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buyIn Context triple: [Texas hold 'em poker (in the 2006 film), buyIn, $10 million (initial buy-in for James Bond)]
-
A.
buys
Indicates that one entity purchases or acquires something from another entity, typically in exchange for money or other compensation.
-
B.
purchaseContext
Indicates the circumstances, conditions, or situational details under which a purchase occurs or is made.
-
C.
buyer
Indicates a relationship where one entity purchases or acquires goods, services, or rights from another entity in exchange for payment or compensation.
-
D.
canBePurchasedWith
Indicates that one entity is able to be bought or acquired using another entity as the form of payment.
-
E.
purchaseMethod
Indicates the way or channel through which a purchase is made (e.g., online, in-store, by phone, or via a specific payment or ordering method).
- 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.