Triple
T19645508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamonds & Rust |
E471660
|
entity |
| Predicate | coverArtBy |
P15267
|
FINISHED |
| Object | Bob Cato |
—
|
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: Bob Cato | Statement: [Diamonds & Rust, coverArtBy, Bob Cato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Cato Context triple: [Diamonds & Rust, coverArtBy, Bob Cato]
-
A.
Bob Cato
chosen
Bob Cato was an influential American graphic designer and art director best known for his innovative album cover designs during the mid-20th century.
-
B.
John Cassisi
John Cassisi is an American former child actor best known for playing the mob boss Fat Sam in the 1976 musical gangster film "Bugsy Malone."
-
C.
Roger Donley
Roger Donley is a film editor known for his work on the animated feature "Snoopy, Come Home."
-
D.
Pete Anthony
Pete Anthony is an American orchestral conductor and orchestrator known for his extensive work on major Hollywood film scores.
-
E.
Brian Cannon
Brian Cannon is a British graphic designer best known for creating iconic album artwork for bands such as Oasis, including their debut album "Definitely Maybe."
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641250e108190a707452fefc87041 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.