Triple
T18637444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buck Johnson |
E455588
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Joe Perry |
—
|
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: Joe Perry | Statement: [Buck Johnson, hasWorkedWith, Joe Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Perry Context triple: [Buck Johnson, hasWorkedWith, Joe Perry]
-
A.
Joe Perry
Joe Perry is an English professional snooker player known for his long career on the World Snooker Tour and for winning the 2015 Players Championship.
-
B.
Joe Perry (musician)
chosen
Joe Perry is an American rock guitarist best known as the lead guitarist and co-founder of the band Aerosmith.
-
C.
Paul Stanley
Paul Stanley is an American musician best known as the rhythm guitarist, co-lead vocalist, and a primary songwriter for the rock band Kiss.
-
D.
Ryan Roxie
Ryan Roxie is an American rock guitarist best known for his longtime work with Alice Cooper and collaborations with various hard rock acts.
-
E.
Jack Gramm
Jack Gramm is a forensic psychiatrist and college professor who becomes the central protagonist in the thriller film "88 Minutes," racing against time to stop a killer who has threatened his life.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc9fa6c81909e1b988bdfb5ebcc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.