Triple
T18662409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Mouse Detective |
E456233
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ron Miller |
—
|
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: Ron Miller | Statement: [The Great Mouse Detective, producer, Ron Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Miller Context triple: [The Great Mouse Detective, producer, Ron Miller]
-
A.
Ron Miller
chosen
Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
-
B.
Ron Miller
Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
-
C.
Ron Miller
Ron Miller was an American songwriter best known for penning classic Motown hits, including the standard "For Once in My Life."
-
D.
Joe Miller
Joe Miller is a lawyer in the film "Philadelphia" who overcomes his own prejudices to defend an AIDS-stricken attorney in a landmark discrimination case.
-
E.
Dan Miller
Dan Miller is a central character in the 2007 horror film "The Mist," known as a pragmatic and skeptical local who becomes a key figure in the tense human conflicts that arise when townspeople are trapped in a supermarket by a mysterious, deadly fog.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508b35ec819085c1c4c2c98d6672 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.