Triple

T17018340
Position Surface form Disambiguated ID Type / Status
Subject The Final Girls E412879 entity
Predicate screenwriter P2831 FINISHED
Object Joshua John Miller E893249 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: Joshua John Miller | Statement: [The Final Girls, screenwriter, Joshua John Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua John Miller
Context triple: [The Final Girls, screenwriter, Joshua John Miller]
  • A. Joshua John Miller chosen
    Joshua John Miller is an American actor, screenwriter, and director known for roles in 1980s horror and cult films and for co-writing the acclaimed horror film "The Final Girls."
  • B. Jeremy Miller
    Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
  • C. Todd Joseph Miller
    Todd Joseph Miller is an American actor and stand-up comedian known for his roles in projects like "Silicon Valley," "Deadpool," and various voice performances in animated films.
  • D. John Anthony Miller Jr.
    John Anthony Miller Jr. is the birth name of Jason Miller, the American actor, playwright, and Oscar-nominated star of "The Exorcist."
  • E. Matt Miller
    Matt Miller is a television writer and producer best known for creating the comedy series "Trial & Error."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4d6cb881909b64b4368fd97fa9 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.