Triple
T22165177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventh Star |
E547771
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jeff Glixman |
—
|
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: Jeff Glixman | Statement: [Seventh Star, producer, Jeff Glixman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Glixman Context triple: [Seventh Star, producer, Jeff Glixman]
-
A.
Jeff Glixman
chosen
Jeff Glixman is an American record producer best known for his work with rock bands such as Kansas and for producing influential albums in the 1970s and 1980s.
-
B.
Roy Newman
Roy Newman is known primarily as the son of English-American soccer coach and former player Ron Newman.
-
C.
Cliff Eidelman
Cliff Eidelman is an American composer best known for his orchestral film scores, including his acclaimed work on movies such as Star Trek VI: The Undiscovered Country and other major Hollywood productions.
-
D.
Cliff Dorfman
Cliff Dorfman is an American screenwriter and filmmaker best known for co-writing the acclaimed sports drama film "Warrior" (2011).
-
E.
Ken Ford
Ken Ford is an American computer scientist and researcher known for his work in artificial intelligence and human-centered computing, particularly through his leadership at the Florida Institute for Human & Machine Cognition.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a314cc081908857c13d018d52b2 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.