Triple

T2124443
Position Surface form Disambiguated ID Type / Status
Subject Monsters, Inc. E46395 entity
Predicate writer P1360 FINISHED
Object Daniel Gerson E112894 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: Daniel Gerson | Statement: [Monsters, Inc., writer, Daniel Gerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Gerson
Context triple: [Monsters, Inc., writer, Daniel Gerson]
  • A. Daniel Gerson chosen
    Daniel Gerson was an American screenwriter best known for co-writing several popular Pixar and Disney animated films, including Monsters, Inc., Monsters University, and Big Hero 6.
  • B. Leo Friedlander
    Leo Friedlander was an American sculptor known for his large-scale public monuments and architectural sculpture, particularly in the mid-20th century.
  • C. Daniel Weisman
    Daniel Weisman is a middle school principal who became known for challenging clergy-led prayers at public school ceremonies in the landmark U.S. Supreme Court case Lee v. Weisman.
  • D. Eliezer Kaplan
    Eliezer Kaplan was a prominent Zionist leader and Israel’s first Minister of Finance, instrumental in building the young state’s economic foundations.
  • E. Mordehai Milgrom
    Mordehai Milgrom is an Israeli physicist best known for proposing Modified Newtonian Dynamics (MOND) as an alternative to dark matter in explaining galactic rotation curves.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae519bfdb08190a7b715fbc5fd3f41 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.