Triple

T21707501
Position Surface form Disambiguated ID Type / Status
Subject Sergeant Rutledge E535806 entity
Predicate hasFilmPosterDesigner P12117 FINISHED
Object Reynold Brown 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: Reynold Brown | Statement: [Sergeant Rutledge, hasFilmPosterDesigner, Reynold Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reynold Brown
Context triple: [Sergeant Rutledge, hasFilmPosterDesigner, Reynold Brown]
  • A. Reynold Brown chosen
    Reynold Brown was an American illustrator best known for his dramatic and dynamic movie poster art for numerous mid-20th-century Hollywood films, especially in the science fiction and horror genres.
  • B. Greg Brown
    Greg Brown is an American ice hockey coach and former defenseman best known for leading the Boston College Eagles men's hockey program.
  • C. Rex Brown
    Rex Brown is an American bassist best known for his work with the influential heavy metal band Pantera.
  • D. Lawrence Brown
    Lawrence Brown was an acclaimed American jazz trombonist best known for his long tenure with Duke Ellington’s orchestra and his lyrical, technically sophisticated playing.
  • E. Brad Brown
    Brad Brown is the young protagonist who battles the carnivorous alien creatures in the horror-comedy film series "Critters," including "Critters 2: The Main Course."
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb530779c819080204c3bd2f6afa2 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.