Triple
T11465631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Savages |
E271772
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jim Taylor |
E289146
|
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: Jim Taylor | Statement: [The Savages, producer, Jim Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Taylor Context triple: [The Savages, producer, Jim Taylor]
-
A.
Jim Taylor
Jim Taylor is the powerful and corrupt political boss who manipulates Senator Joseph Paine in the classic film "Mr. Smith Goes to Washington."
-
B.
Jim Taylor
chosen
Jim Taylor is an American film producer and screenwriter best known for his long-time collaboration with director Alexander Payne on acclaimed films such as "Sideways" and "Election."
-
C.
Jim Taylor
Jim Taylor was a Hall of Fame fullback for the Green Bay Packers, renowned for his powerful running style and key role in Vince Lombardi’s championship teams of the 1960s.
-
D.
Mike Taylor
Mike Taylor is a film editor known for his work on the acclaimed British gangster film "The Long Good Friday."
-
E.
Mike Taylor
Mike Taylor is a songwriter best known for co-writing John Denver’s classic folk song "Rocky Mountain High."
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60415f6ac8190ad81ed0ef0a30e12 |
completed | April 20, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:35 p.m.