Triple
T23187055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stax Records studio |
E579618
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Jim Stewart |
—
|
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: Jim Stewart | Statement: [Stax Records studio, foundedBy, Jim Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Stewart Context triple: [Stax Records studio, foundedBy, Jim Stewart]
-
A.
Jim Stewart
Jim Stewart is a film editor known for his work on the animated feature "Monsters, Inc."
-
B.
Jim Stewart
chosen
Jim Stewart was an American record producer and co-founder of the influential soul music label Stax Records in Memphis, Tennessee.
-
C.
Tom Stewart
Tom Stewart is an actor known for his role in the film "American Gigolo."
-
D.
Gene Nelson
Gene Nelson was an American actor, dancer, and choreographer best known for his energetic musical performances in classic Hollywood films of the 1950s.
-
E.
Phil Morrison
Phil Morrison is an American film and television director best known for his work on indie films like "Junebug" and various acclaimed music videos and commercials.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd4c6f481908b6138a44b98c8a7 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.