Triple
T30148206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celebrity Poker Showdown |
E766312
|
entity |
| Predicate | hasTournamentChampions |
P181331
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Celebrity Poker Showdown, hasTournamentChampions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTournamentChampions Context triple: [Celebrity Poker Showdown, hasTournamentChampions, true]
-
A.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
B.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
-
C.
pointsOfChampions
Indicates the number of points earned or accumulated by champions in a given competition or context.
-
D.
championsTitleWonBy
Indicates that a particular championship title is held or has been won by a specific entity.
-
E.
hasWonMultipleChampionships
Indicates that the subject has secured championship titles on more than one separate occasion.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: April 29, 2026, 7:19 p.m.