Triple
T23145933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gitarzan |
E577585
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Fred Foster |
—
|
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: Fred Foster | Statement: [Gitarzan, producer, Fred Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Foster Context triple: [Gitarzan, producer, Fred Foster]
-
A.
Fred Foster
chosen
Fred Foster was an influential American record producer and founder of Monument Records, best known for shaping the careers of artists like Roy Orbison and Dolly Parton.
-
B.
Frank Foster
Frank Foster was an American jazz saxophonist, composer, and arranger best known for his influential work with the Count Basie Orchestra.
-
C.
Mel Farr
Mel Farr was an American NFL running back best known for his standout early career with the Detroit Lions and later success as a prominent automobile dealer.
-
D.
Floyd Crosby
Floyd Crosby was an Academy Award–winning American cinematographer known for his work on numerous classic films, including influential low-budget horror and science fiction movies.
-
E.
Lee Foster
Lee Foster is a music producer best known for his work on Lana Del Rey’s critically acclaimed album "Ultraviolence."
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ece211c81908b53e98f0acae09a |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.