Triple
T22273498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyd Gaming |
E550540
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Bill Boyd |
—
|
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: Bill Boyd | Statement: [Boyd Gaming, foundedBy, Bill Boyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Boyd Context triple: [Boyd Gaming, foundedBy, Bill Boyd]
-
A.
Bill Boyd
chosen
Bill Boyd is the commonly used name for William Boyd, which may refer to several notable individuals including actors, politicians, and other public figures.
-
B.
Paul Bacon
Paul Bacon was an influential American graphic designer and illustrator renowned for pioneering the "big book" cover style for major 20th-century novels and jazz albums.
-
C.
Walter Boyd
Walter Boyd is a former Jamaican international footballer best known for his prolific goal-scoring and charismatic playing style as a forward in the 1990s and early 2000s.
-
D.
Hans Matheson
Hans Matheson is a Scottish actor known for his roles in period dramas and literary adaptations in film and television.
-
E.
Bill Morrow
Bill Morrow was an American television and radio comedy writer best known for his work on major mid-20th-century variety and comedy programs.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.