Triple
T16461510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailey |
E399816
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Bill Bailey |
E665879
|
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: Bill Bailey | Statement: [Bailey, hasNotableBearer, Bill Bailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Bailey Context triple: [Bailey, hasNotableBearer, Bill Bailey]
-
A.
Bill Bailey
chosen
Bill Bailey is a British comedian, musician, and actor known for his surreal stand-up, musical parodies, and appearances on panel shows like "Never Mind the Buzzcocks."
-
B.
Matt Berry
Matt Berry is an English actor, comedian, writer, and musician best known for his distinctive voice and roles in cult comedy series such as "The IT Crowd," "Toast of London," and "What We Do in the Shadows."
-
C.
Michael McIntyre
Michael McIntyre is a music producer best known for his work on the Whitesnake album "Good to Be Bad."
-
D.
Michael McIntyre
Michael McIntyre is a British stand-up comedian and television presenter known for his high-energy observational comedy and popular arena tours.
-
E.
Russell Howard
Russell Howard is a British stand-up comedian and television presenter best known for his energetic observational comedy and shows like "Russell Howard's Good News" and "The Russell Howard Hour."
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d819d548190bc76a0ec2e223437 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607618c8819090fc9f18ae5f30dd |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:10 a.m.