Triple
T3401418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Pérez |
E71659
|
entity |
| Predicate | battingAverageInCareer |
P7538
|
FINISHED |
| Object | .279 |
—
|
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: .279 | Statement: [Tony Pérez, battingAverageInCareer, .279]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battingAverageInCareer Context triple: [Tony Pérez, battingAverageInCareer, .279]
-
A.
battingAverage
Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
-
B.
careerBattingAverage
chosen
Indicates the long-term batting performance of a player, calculated as their total hits divided by total at-bats over their entire career.
-
C.
battingAverageAgainst
Indicates the average batting performance (e.g., hits per at-bat) that a batter achieves specifically against a particular pitcher, team, or category of opponents.
-
D.
SluggingPercentage
Indicates the rate at which a batter accumulates total bases per at-bat, reflecting their overall power-hitting effectiveness.
-
E.
careerOnBasePercentage
Indicates a player's on-base percentage averaged over the entire duration of their career.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.