Triple
T4877714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Vizquel |
E109244
|
entity |
| Predicate | fieldingPercentageShortstop |
P60414
|
FINISHED |
| Object | .985 |
—
|
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: .985 | Statement: [Omar Vizquel, fieldingPercentageShortstop, .985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldingPercentageShortstop Context triple: [Omar Vizquel, fieldingPercentageShortstop, .985]
-
A.
fieldingSpecialty
Indicates a player's particular area of expertise or primary role when performing defensive (fielding) duties in a sport.
-
B.
strikeoutRate
Indicates the frequency or proportion at which a pitcher (or batter) records strikeouts relative to total opportunities.
-
C.
fielderMittFeature
Indicates that a baseball fielder’s mitt possesses or includes a particular feature or characteristic.
-
D.
battingAverage
Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
-
E.
homeRunRate
Indicates the frequency at which a player or team hits home runs relative to a specified number of opportunities (such as at-bats, plate appearances, or games).
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:27 p.m.