Triple

T21952004
Position Surface form Disambiguated ID Type / Status
Subject The Candidate E542091 entity
Predicate screenwriter P2831 FINISHED
Object Jeremy Larner 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: Jeremy Larner | Statement: [The Candidate, screenwriter, Jeremy Larner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Larner
Context triple: [The Candidate, screenwriter, Jeremy Larner]
  • A. Jeremy Larner chosen
    Jeremy Larner is an American writer and political speechwriter best known for winning an Academy Award for his screenplay for the film "The Candidate."
  • B. Peter Landesman
    Peter Landesman is an American filmmaker, screenwriter, and former investigative journalist known for writing and directing politically charged dramas such as "Concussion" and "Parkland."
  • C. David Cromer
    David Cromer is an American director and actor known for his acclaimed work in theater, including innovative stage productions and performances on and off Broadway.
  • D. Leon Halfin
    Leon Halfin was the father of fashion designer Diane von Fürstenberg and a Holocaust survivor whose experiences deeply influenced her life and work.
  • E. Stephen Schiff
    Stephen Schiff is an American screenwriter and journalist known for his work on films such as "Wall Street: Money Never Sleeps" and for writing on acclaimed television series.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243c84d4819097f5a93b128f024b completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:58 p.m.