Triple
T22862979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Woodson |
E566974
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Woodson |
—
|
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: Woodson | Statement: [Mike Woodson, familyName, Woodson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodson Context triple: [Mike Woodson, familyName, Woodson]
-
A.
Woodson
"Woodson" is an early EP by American emo band The Get Up Kids, showcasing their raw, melodic punk-influenced sound.
-
B.
Woodson
chosen
Woodson is a surname most prominently associated with Charles Woodson, a celebrated American football player and Pro Football Hall of Famer.
-
C.
James Tyrone Woodson
James Tyrone Woodson is a criminal defendant best known as the petitioner in the landmark U.S. Supreme Court case Woodson v. North Carolina, which helped reshape the constitutionality of mandatory death penalty statutes.
-
D.
David Wooderson
David Wooderson is a laid-back, older stoner character memorably portrayed by Matthew McConaughey in the coming-of-age film "Dazed and Confused."
-
E.
Quarles
Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efdc3b08190be03d856aa86b277 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.