Triple
T32223158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Edward Paultz |
E823121
|
entity |
| Predicate | numberOfABAAllStarSelections |
P203491
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [William Edward Paultz, numberOfABAAllStarSelections, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfABAAllStarSelections Context triple: [William Edward Paultz, numberOfABAAllStarSelections, 3]
-
A.
allStarGameResult
Indicates the outcome or result associated with an All-Star Game event between the involved entities.
-
B.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
-
C.
aflAllStarSelectionCount
Indicates the number of times an entity has been selected as an AFL (Australian Football League) All-Star.
-
D.
wasMLBAllStar
Indicates that an individual was selected to participate as an All-Star in a Major League Baseball (MLB) All-Star Game.
-
E.
allStarGameLeagueWinner
Indicates that a league is the winner of a particular All-Star Game.
- 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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a019037edbc8190bdaec436ac2fcec6 |
completed | May 11, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_6a018fe05a34819080068f588b5ff80c |
completed | May 11, 2026, 8:14 a.m. |
| PDg | Predicate description generation | batch_6a0190370290819096183e9fb7d32cff |
completed | May 11, 2026, 8:15 a.m. |
Created at: May 1, 2026, 12:38 a.m.