Triple

T7565993
Position Surface form Disambiguated ID Type / Status
Subject Milos Forman E178913 entity
Predicate name P16 FINISHED
Object Milos Forman E178913 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: Milos Forman | Statement: [Milos Forman, name, Milos Forman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milos Forman
Context triple: [Milos Forman, name, Milos Forman]
  • A. Milos Forman chosen
    Milos Forman was an acclaimed Czech-American film director best known for classics such as "One Flew Over the Cuckoo's Nest" and "Amadeus."
  • B. Philip Kaufman
    Philip Kaufman is an American film director and screenwriter known for works such as "The Right Stuff," "Invasion of the Body Snatchers" (1978), and "The Unbearable Lightness of Being."
  • C. Norman Jewison
    Norman Jewison was a Canadian film director and producer best known for acclaimed movies such as "In the Heat of the Night," "Fiddler on the Roof," and "Moonstruck."
  • D. Sydney Pollack
    Sydney Pollack was an American film director, producer, and actor known for acclaimed movies such as "Out of Africa," "Tootsie," and "The Firm."
  • E. Hal Ashby
    Hal Ashby was an influential American film director and editor of the New Hollywood era, known for acclaimed, offbeat classics such as "Harold and Maude," "Shampoo," and "Being There."
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fde87c81909795fc713d7378ff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856dc5ea881908c2e0075f9631af4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.