Triple

T19268306
Position Surface form Disambiguated ID Type / Status
Subject Hudson Hawk E481848 entity
Predicate screenwriter P2831 FINISHED
Object Daniel Waters 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: Daniel Waters | Statement: [Hudson Hawk, screenwriter, Daniel Waters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Waters
Context triple: [Hudson Hawk, screenwriter, Daniel Waters]
  • A. Daniel Waters chosen
    Daniel Waters is an American screenwriter best known for his sharp, satirical scripts, including the cult classic film "Heathers" and the sci-fi action movie "Demolition Man."
  • B. Warren Leight
    Warren Leight is an American television writer, producer, and playwright best known for his leadership and storytelling on crime and legal drama series.
  • C. Andrew Shue
    Andrew Shue is an American actor and entrepreneur best known for his role on the television series "Melrose Place" and for co-founding the social networking site CafeMom.
  • D. Alec Berg
    Alec Berg is an American television writer, producer, and director known for his work on acclaimed comedy series such as Seinfeld, Curb Your Enthusiasm, and Silicon Valley.
  • E. Scott Neustadter
    Scott Neustadter is an American screenwriter best known for co-writing films such as "(500) Days of Summer," "The Fault in Our Stars," and other adaptations of popular novels.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8e1f888190a95f60fa29ca3b98 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.