Triple
T13222164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sons of Tucson |
E314780
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Greg Bratman |
E1110901
|
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: Greg Bratman | Statement: [Sons of Tucson, executiveProducer, Greg Bratman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Bratman Context triple: [Sons of Tucson, executiveProducer, Greg Bratman]
-
A.
Greg Bratman
chosen
Greg Bratman is a television writer and producer best known for co-creating the Fox sitcom "Sons of Tucson."
-
B.
Michael Leibert
Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
-
C.
Michael Brickler
Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
-
D.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
E.
Ted Briskin
Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5b543308190a86e715106641484 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 9, 2026, 9:18 p.m.