Triple
T22229094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Giblin |
E549420
|
entity |
| Predicate | notableWorkWith |
P26239
|
FINISHED |
| Object | Al Stewart |
—
|
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: Al Stewart | Statement: [John Giblin, notableWorkWith, Al Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Stewart Context triple: [John Giblin, notableWorkWith, Al Stewart]
-
A.
Al Stewart
chosen
Al Stewart is a Scottish singer-songwriter best known for his folk-rock storytelling style and the 1976 hit song "Year of the Cat."
-
B.
Ron Stewart
Ron Stewart was a standout Canadian Football League running back best known for his long and successful career with the Ottawa Rough Riders.
-
C.
Fred Stewart
Fred Stewart was an American character actor known for his supporting roles in mid-20th-century film, television, and theater.
-
D.
Pat Stevens
Pat Stevens is an American voice actress best known for voicing Velma Dinkley in the "Scooby-Doo" animated television series during the late 1970s.
-
E.
Jim Rushing
Jim Rushing is a game designer best known for his work on the influential 1983 economic strategy video game M.U.L.E.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf173308190a3d21bfc59b39728 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.