Triple

T6135049
Position Surface form Disambiguated ID Type / Status
Subject Battleground E136812 entity
Predicate producer P490 FINISHED
Object Dore Schary E166969 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: Dore Schary | Statement: [Battleground, producer, Dore Schary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dore Schary
Context triple: [Battleground, producer, Dore Schary]
  • A. Dore Schary chosen
    Dore Schary was an American screenwriter, producer, and studio executive best known for his influential tenure at MGM and his socially conscious films in mid-20th-century Hollywood.
  • B. Sam Spiegel
    Sam Spiegel was an acclaimed Austrian-American film producer known for epic classics such as "Lawrence of Arabia," "The Bridge on the River Kwai," and "On the Waterfront."
  • C. Martin Bregman
    Martin Bregman was an American film producer best known for producing iconic crime dramas such as "Serpico," "Dog Day Afternoon," and "Scarface."
  • D. Walter Mirisch
    Walter Mirisch was an Academy Award–winning American film producer and head of The Mirisch Corporation, known for overseeing numerous acclaimed films of the mid-20th century.
  • E. Arthur Freed
    Arthur Freed was an influential American film producer and lyricist best known for shaping the golden age of MGM musicals, including classics like "Singin’ in the Rain."
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c80a6088190a028967b682fed2b completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d035e9c8190bd9978987833ff3c completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 4:15 p.m.