Triple
T23330641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Ham |
E591431
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Badfinger |
—
|
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: Badfinger | Statement: [Pete Ham, memberOf, Badfinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badfinger Context triple: [Pete Ham, memberOf, Badfinger]
-
A.
Badfinger
chosen
Badfinger was a British rock band formed in the 1960s, best known for their melodic power pop sound and influential hits under the Apple Records label.
-
B.
Loosefingers
Loosefingers is an alias of pioneering Chicago house producer Larry Heard, under which he explores deeper, more experimental strains of house and electronic music.
-
C.
Mott the Hoople
Mott the Hoople was a British rock band of the late 1960s and 1970s best known for their glam rock hit “All the Young Dudes,” written and produced by David Bowie.
-
D.
Bad Company
"Bad Company" is a 1995 American neo-noir thriller film featuring Michael Beach in a supporting role.
-
E.
Bad Company
Bad Company is a fast-paced thriller novel by Jack Higgins that follows covert operatives entangled in a high-stakes conspiracy involving wartime secrets and modern power struggles.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197ece360819099da8443dd86a355 |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:15 p.m.