Triple
T4457124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Elway |
E97753
|
entity |
| Predicate | playedBaseball |
P56634
|
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: [John Elway, playedBaseball, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedBaseball Context triple: [John Elway, playedBaseball, true]
-
A.
positionPlayedInBaseball
Indicates the specific defensive role or fielding position that a person plays in a game of baseball.
-
B.
roleInBaseballHistory
Indicates the specific part or contribution an entity has within the broader narrative or development of baseball history.
-
C.
usesBatAndBall
Indicates that the action or activity involves the use of both a bat and a ball together.
-
D.
numberOfGamesPlayedInMLB
Indicates the total count of games an entity has participated in within Major League Baseball.
-
E.
baseballAchievement
Indicates that an entity has attained a notable accomplishment, record, or honor specifically within the context of baseball.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356434e9481908f883c09e0908f6b |
completed | March 13, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b354e1f0948190b645096b2b7037af |
completed | March 13, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:33 p.m.