Triple
T20126207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trixter |
E490762
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Glen Sobel |
—
|
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: Glen Sobel | Statement: [Trixter, hasMember, Glen Sobel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glen Sobel Context triple: [Trixter, hasMember, Glen Sobel]
-
A.
Glen Sobel
chosen
Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
-
B.
Curt Sobel
Curt Sobel is an American film composer and music editor known for his work on numerous movies and television projects.
-
C.
Ben Sobel
Ben Sobel is a neurotic psychiatrist who becomes entangled with a mob boss as his reluctant therapist in the comedy film "Analyze This."
-
D.
Lew Soloff
Lew Soloff was an American jazz trumpeter and session musician renowned for his virtuosic playing, especially during his tenure with the jazz-rock band Blood, Sweat & Tears.
-
E.
Michael Sobel
Michael Sobel is the son of Ben Sobel, a character from the comedy film series "Analyze This" and "Analyze That."
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674223008190827c454fe7ac86f4 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:31 p.m.