Triple

T11329920
Position Surface form Disambiguated ID Type / Status
Subject Near Dark E268313 entity
Predicate hasCastMember P2308 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: [Near Dark, hasCastMember, Joshua John Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua John Miller
Context triple: [Near Dark, hasCastMember, 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. 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."
  • D. Jacob Miller
    Jacob Miller was a prominent Jamaican reggae singer and frontman of the band Inner Circle, known for his powerful voice and charismatic stage presence.
  • E. 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.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e526236b688190aca4f2400a12e726 completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.