Triple
T17890969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas hold 'em poker (in the 2006 film) |
E447313
|
entity |
| Predicate | finalPotSize |
P42237
|
FINISHED |
| Object | over $100 million (fictional amount) |
—
|
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: over $100 million (fictional amount) | Statement: [Texas hold 'em poker (in the 2006 film), finalPotSize, over $100 million (fictional amount)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalPotSize Context triple: [Texas hold 'em poker (in the 2006 film), finalPotSize, over $100 million (fictional amount)]
-
A.
finalHeld
Indicates that an entity ultimately retains possession or control of another entity at the conclusion of a process or event.
-
B.
finalValue
chosen
Indicates the resulting or ultimate value obtained after all relevant operations, changes, or calculations have been completed.
-
C.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
D.
finalCost
Indicates the total amount to be paid for something after all calculations, such as taxes, discounts, or fees, have been applied.
-
E.
peakSize
Indicates the magnitude or height of a peak within a given signal, distribution, or dataset.
- F. None of above.
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_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. |
Created at: April 10, 2026, 10:18 a.m.