Triple
T3401417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Pérez |
E71659
|
entity |
| Predicate | hitsInCareer |
P7535
|
FINISHED |
| Object | 2732 |
—
|
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: 2732 | Statement: [Tony Pérez, hitsInCareer, 2732]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hitsInCareer Context triple: [Tony Pérez, hitsInCareer, 2732]
-
A.
careerHits
chosen
Indicates the total number of hits a player has accumulated over the course of their entire professional career.
-
B.
careerRunsScored
Indicates the total number of runs an entity has scored over the entire duration of their playing career.
-
C.
scoredOverPointsCareer
Indicates that an entity (typically an athlete) accumulated more than a specified number of points over the course of their entire career.
-
D.
careerRuns
Indicates the total number of runs a player has scored over the entire duration of their professional career.
-
E.
careerHomeRuns
Indicates the total number of home runs an entity has hit over the entire span of their professional 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.