Triple
T15565907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trial & Error |
E371112
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Matt Miller |
E1165062
|
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: Matt Miller | Statement: [Trial & Error, executiveProducer, Matt Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Miller Context triple: [Trial & Error, executiveProducer, Matt Miller]
-
A.
Matt Miller
chosen
Matt Miller is a television writer and producer best known for creating the comedy series "Trial & Error."
-
B.
Andrew Miller
Andrew Miller is an American former Major League Baseball relief pitcher known for his dominant left-handed pitching and key postseason performances for multiple teams, including the Cleveland Indians and New York Yankees.
-
C.
Matthew Miller
Matthew Miller is an American television writer and producer best known for developing and executive producing the TV adaptation of the "Lethal Weapon" film franchise.
-
D.
Jake Miller
Jake Miller is an actor known for appearing in the independent drama film "Paranoid Park," directed by Gus Van Sant.
-
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 (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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56bf8cac81909886de5b82849cb2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:10 a.m.