Triple
T3502794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit Tigers |
E74005
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Kirk Gibson |
E138077
|
NE 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: Kirk Gibson | Statement: [Detroit Tigers, notablePlayer, Kirk Gibson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirk Gibson Context triple: [Detroit Tigers, notablePlayer, Kirk Gibson]
-
A.
Kirk Gibson
chosen
Kirk Gibson is a former Major League Baseball outfielder best known for his clutch hitting, including iconic World Series home runs for the Detroit Tigers and Los Angeles Dodgers.
-
B.
Gary Willis
Gary Willis is a fictional character appearing in the film "Red Dust."
-
C.
Billy Williams
Billy Williams is a Hall of Fame left fielder best known for his long, productive career with the Chicago Cubs during the 1960s and 1970s.
-
D.
Billy Williams
Billy Williams is an acclaimed British cinematographer best known for his Oscar-winning work on films such as "Gandhi" and his influential contributions to visual storytelling in cinema.
-
E.
George Brett
George Brett is a Hall of Fame third baseman widely regarded as one of the greatest hitters in Major League Baseball history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbef47988190b5b3fe2e452b9ac8 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373db933881908557d678dcdee382 |
completed | March 13, 2026, 2:18 a.m. |
Created at: March 8, 2026, 3:18 p.m.