Triple
T21871609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABWH |
E540013
|
entity |
| Predicate | hasTourMusician |
P91979
|
FINISHED |
| Object | Paul Stacey |
—
|
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: Paul Stacey | Statement: [ABWH, hasTourMusician, Paul Stacey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Stacey Context triple: [ABWH, hasTourMusician, Paul Stacey]
-
A.
Paul Stacey
chosen
Paul Stacey is a British guitarist, producer, and songwriter best known for his work with rock bands such as The Black Crowes and Oasis.
-
B.
Phil Stacey
Phil Stacey is an American country and Christian music singer who gained national recognition as a finalist on the sixth season of American Idol.
-
C.
Michael Staines
Michael Staines was an Irish revolutionary and politician who became the inaugural head of Ireland’s national police force, the Garda Síochána, during the early years of the Irish Free State.
-
D.
Stuart Palmer
Stuart Palmer was an American mystery writer and screenwriter best known for his Hildegarde Withers detective novels and his work in Hollywood during the mid-20th century.
-
E.
Stuart Lindsell
Stuart Lindsell was a British actor known for his supporting roles in mid-20th-century films and stage productions.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f3368d488190a37224b587858ab0 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:58 p.m.