Triple

T13616800
Position Surface form Disambiguated ID Type / Status
Subject As Good as It Gets E325336 entity
Predicate screenwriter P2831 FINISHED
Object Mark Andrus E997615 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: Mark Andrus | Statement: [As Good as It Gets, screenwriter, Mark Andrus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Andrus
Context triple: [As Good as It Gets, screenwriter, Mark Andrus]
  • A. Mark Andrus chosen
    Mark Andrus is an American screenwriter best known for co-writing the acclaimed film "As Good as It Gets."
  • B. Trent Olsen
    Trent Olsen is an American former child actor and the older brother of actresses Mary-Kate, Ashley, and Elizabeth Olsen.
  • C. Darren Lemke
    Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
  • D. Matt Oberg
    Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
  • E. D.J. Grothe
    D.J. Grothe is an American skeptic, speaker, and former president of the James Randi Educational Foundation known for promoting critical thinking and secular humanism.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0ad0a7c81909c7972187202db96 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05f0e948190b7f22d071ad54283 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:50 p.m.