Triple
T4765952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Lofton |
E105809
|
entity |
| Predicate | careerHitsApprox |
P7535
|
FINISHED |
| Object | 2400+ |
—
|
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: 2400+ | Statement: [Kenny Lofton, careerHitsApprox, 2400+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerHitsApprox Context triple: [Kenny Lofton, careerHitsApprox, 2400+]
-
A.
careerHits
chosen
Indicates the total number of hits a player has accumulated over the course of their entire professional career.
-
B.
careerOPS
Indicates a relationship where an entity’s career on-base plus slugging (OPS) statistic is recorded or associated with that entity.
-
C.
careerStrikeouts
Indicates the total number of batters a pitcher has struck out over the course of their entire professional career.
-
D.
careerOPSPlus
Indicates a relationship where an entity’s career performance or opportunities are enhanced, improved, or positively adjusted beyond a standard or baseline level.
-
E.
careerWHIP
Indicates the average number of walks and hits a pitcher has allowed per inning over their entire 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.