Triple

T21718732
Position Surface form Disambiguated ID Type / Status
Subject The Ticket E536098 entity
Predicate producer P490 FINISHED
Object Oren Moverman 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: Oren Moverman | Statement: [The Ticket, producer, Oren Moverman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oren Moverman
Context triple: [The Ticket, producer, Oren Moverman]
  • A. Oren Moverman chosen
    Oren Moverman is an Israeli-American screenwriter and director known for his work on acclaimed films such as "I'm Not There," "The Messenger," and "Rampart."
  • B. Des McAnuff
    Des McAnuff is a Tony Award–winning Canadian-American director and producer best known for his work on major Broadway musicals such as "Jersey Boys" and "Big River."
  • C. Michael Almereyda
    Michael Almereyda is an American filmmaker and screenwriter known for his inventive, often experimental adaptations of classic literature and genre stories.
  • D. Daniel LeRoy
    Daniel LeRoy was an American lawyer and politician who became the inaugural Attorney General of the state of Michigan in the 19th century.
  • E. David LeRoy Anderson
    David LeRoy Anderson is an American special effects and makeup artist known for his work on major Hollywood films and for winning Academy Awards in his field.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96cc58081908dda09819041b888 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.