Triple
T22130890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One (Metallica music video) |
E546900
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Joe Bonham |
—
|
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 Bonham | Statement: [One (Metallica music video), featuresCharacter, Joe Bonham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Bonham Context triple: [One (Metallica music video), featuresCharacter, Joe Bonham]
-
A.
Joe Bonham
chosen
Joe Bonham is the severely wounded World War I soldier who serves as the tragic, consciousness-bound protagonist of Dalton Trumbo’s anti-war novel "Johnny Got His Gun."
-
B.
Keith Hammond
Keith Hammond is a pseudonym used by American science fiction and fantasy author Henry Kuttner for some of his published works.
-
C.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
D.
Billy Higgins
Billy Higgins was a highly influential American jazz drummer known for his work in hard bop and free jazz, recording extensively with artists such as Ornette Coleman and Dexter Gordon.
-
E.
Sam Bowman
Sam Bowman is a prominent natural language processing researcher and AI scientist known for his work on language understanding and safety, and as a co-founder of Anthropic.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12985e3688190917884c6bd487810 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.