Triple
T23097677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Whitaker |
E575938
|
entity |
| Predicate | careerWAR |
P150908
|
FINISHED |
| Object | approximately 75 |
—
|
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: approximately 75 | Statement: [Lou Whitaker, careerWAR, approximately 75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerWAR Context triple: [Lou Whitaker, careerWAR, approximately 75]
-
A.
careerOPSPlus
Indicates a relationship where an entity’s career performance or opportunities are enhanced, improved, or positively adjusted beyond a standard or baseline level.
-
B.
careerOPS
Indicates a relationship where an entity’s career on-base plus slugging (OPS) statistic is recorded or associated with that entity.
-
C.
careerSluggingPercentage
Indicates the overall slugging percentage a player has achieved across their entire career.
-
D.
careerPasserRating
Indicates a player's overall passer rating calculated across their entire career, summarizing their long-term passing performance.
-
E.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de61c7c8190809920fa1071935f |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:57 p.m.