Triple
T15380634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy White |
E367788
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Randy White |
E367788
|
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: Randy White | Statement: [Randy White, name, Randy White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy White Context triple: [Randy White, name, Randy White]
-
A.
Randy White
chosen
Randy White is a Hall of Fame defensive tackle and linebacker who starred for the Dallas Cowboys in the 1970s and 1980s.
-
B.
Willie Hall
Willie Hall is an American drummer best known for his work with Booker T. & the M.G.'s and as the drummer for The Blues Brothers Band.
-
C.
Lamar Harding
Lamar Harding is an individual notable enough to be specifically recognized as a bearer of the surname Harding.
-
D.
Dawayne Bailey
Dawayne Bailey is an American rock guitarist best known for his work with the band Chicago and his earlier tenure with Bob Seger & the Silver Bullet Band.
-
E.
Randy Woods
Randy Woods is a former American basketball player best known as a standout guard at La Salle University who went on to play in the NBA.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5996408190afab2221d38e0027 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:19 a.m.