Triple

T13830959
Position Surface form Disambiguated ID Type / Status
Subject The Proposal E332396 entity
Predicate screenwriter P2831 FINISHED
Object Peter Chiarelli E801283 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: Peter Chiarelli | Statement: [The Proposal, screenwriter, Peter Chiarelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Chiarelli
Context triple: [The Proposal, screenwriter, Peter Chiarelli]
  • A. Peter Chiarelli chosen
    Peter Chiarelli is an American screenwriter and film producer known for writing popular romantic comedies such as "Crazy Rich Asians" and "The Proposal."
  • B. Robert Chiarelli
    Robert Chiarelli is a music producer and songwriter known for his work on tracks such as "The Apl Song."
  • C. Bill Daniels
    Bill Daniels was an American cable television pioneer, entrepreneur, and philanthropist who became a prominent owner and supporter of professional basketball teams.
  • D. Dan Schneider
    Dan Schneider is an American television producer, writer, and actor best known for creating numerous popular Nickelodeon live-action series for children and teens.
  • E. Jim Denault
    Jim Denault is an American cinematographer known for his work on both feature films and television series, often collaborating on character-driven comedies and dramas.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ebf2608190b1071ee6967fa8d3 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.