Triple
T17890972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas hold 'em poker (in the 2006 film) |
E447313
|
entity |
| Predicate | numberOfPlayersAtStart |
P99351
|
FINISHED |
| Object | 10 players (approximate, as depicted) |
—
|
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 players (approximate, as depicted) | Statement: [Texas hold 'em poker (in the 2006 film), numberOfPlayersAtStart, 10 players (approximate, as depicted)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlayersAtStart Context triple: [Texas hold 'em poker (in the 2006 film), numberOfPlayersAtStart, 10 players (approximate, as depicted)]
-
A.
originalPlayersPerTeam
Indicates the number of players that each team initially had at the start of a game or season.
-
B.
typicalNumberOfPlayers
chosen
Indicates the usual or standard number of players involved in participating in an activity or game.
-
C.
playerNumber
Indicates the specific jersey or identification number assigned to a player within a team or game context.
-
D.
numberOfPlayersPerTeam
Indicates the quantity of players that are assigned to or allowed on each team in a given context.
-
E.
intendedPlayers
Indicates the players for whom something (such as a game, item, or activity) is designed or meant to be used.
- 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.