Triple
T20230651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuck |
E495512
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | Turkey Stearnes |
—
|
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: Turkey Stearnes | Statement: [Tuck, refersTo, Turkey Stearnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turkey Stearnes Context triple: [Tuck, refersTo, Turkey Stearnes]
-
A.
Turkey Stearnes
chosen
Turkey Stearnes was a Hall of Fame Negro Leagues outfielder renowned for his exceptional power hitting, speed, and all-around play during the early 20th century.
-
B.
Stearns
Stearns is the middle name of the influential modernist poet and critic T. S. Eliot, whose full name is Thomas Stearns Eliot.
-
C.
Stearnes
Stearnes is the surname of Turkey Stearnes, a Hall of Fame Negro Leagues baseball star known as one of the greatest power hitters of his era.
-
D.
Easterbrook
Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
-
E.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdce9d081909752a6a1e15283ba |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.