Triple
T9083774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Kaye |
E217697
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Badfinger |
E591433
|
NE FINISHED |
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: [Tony Kaye, memberOf, Badfinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badfinger Context triple: [Tony Kaye, 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.
Bad Company
"Bad Company" is a 1995 American neo-noir thriller film featuring Michael Beach in a supporting role.
-
C.
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.
-
D.
The Spencer Davis Group
The Spencer Davis Group was a 1960s British rock and rhythm and blues band best known for hits like "Gimme Some Lovin'" and "I'm a Man," which helped launch Steve Winwood's career.
-
E.
Uriah Heep
Uriah Heep is a famously obsequious and manipulative clerk-turned-villain in Charles Dickens’s novel "David Copperfield."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe30093481908b3ec394cf585642 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:13 p.m.