Triple
T21136430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Kinsler |
E520826
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kinsler |
—
|
NE NERFINISHED |
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: Kinsler | Statement: [Ian Kinsler, familyName, Kinsler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinsler Context triple: [Ian Kinsler, familyName, Kinsler]
-
A.
Kinsler
chosen
Kinsler is a surname most notably associated with Ian Kinsler, an American former Major League Baseball second baseman and World Series champion.
-
B.
Fielder
Fielder is the surname of Prince Fielder, a former Major League Baseball slugger known for his power hitting and multiple All-Star selections.
-
C.
Scrivens
Scrivens is a surname most notably associated with Canadian former professional ice hockey goaltender Ben Scrivens.
-
D.
Nicasio
Nicasio is a small rural community in western Marin County, California, known for its pastoral landscapes, ranches, and historic town center around Nicasio Square.
-
E.
K. J. Wilson
K. J. Wilson is an actor best known for appearing in the film "An Angel at My Table."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235aae588190bf9f7b40553bfa0e |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.