Triple
T18664155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Panic Channel |
E456282
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Stephen Perkins |
—
|
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: Stephen Perkins | Statement: [The Panic Channel, hasMember, Stephen Perkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Perkins Context triple: [The Panic Channel, hasMember, Stephen Perkins]
-
A.
Stephen Perkins
chosen
Stephen Perkins is an American drummer best known for his work with alternative rock bands Jane's Addiction and Porno for Pyros.
-
B.
Steve Perkins
Steve Perkins is a former English professional footballer best known for playing as a defender in the lower tiers of the English football league system.
-
C.
Ian Perkins
Ian Perkins is a British guitarist best known for his work with The Horrible Crowes, the side project of The Gaslight Anthem’s Brian Fallon.
-
D.
Ben L. Perry
Ben L. Perry was a screenwriter best known for his work on mid-20th-century American genre films, including the Western noir "Terror in a Texas Town."
-
E.
Gregory Perler
Gregory Perler is a film editor best known for his work on major animated features, including the movie "Rio 2."
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508d2d588190a468bd7b205d2057 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.