Triple
T6477027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Thomas |
E146096
|
entity |
| Predicate | statCategoryLeader |
P5184
|
FINISHED |
| Object | on-base percentage |
—
|
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: on-base percentage | Statement: [Frank Thomas, statCategoryLeader, on-base percentage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statCategoryLeader Context triple: [Frank Thomas, statCategoryLeader, on-base percentage]
-
A.
hasStatisticalLeaderCategory
chosen
Indicates that an entity is associated with a specific category under which it is recognized as a statistical leader (e.g., in performance metrics or records).
-
B.
leagueLeader
Indicates that the subject entity is currently ranked first or holds the top position within a specified league or competitive grouping.
-
C.
pointsLeader
Indicates that the subject entity is the current leader in points relative to other entities in a given context or competition.
-
D.
rankingCategory
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
E.
hasRankingCategory
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4ba9588190a965b9e7feb7e598 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.