Triple

T18690213
Position Surface form Disambiguated ID Type / Status
Subject Ron Rich E456974 entity
Predicate notableWork P4 FINISHED
Object The Fortune Cookie 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: The Fortune Cookie | Statement: [Ron Rich, notableWork, The Fortune Cookie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Fortune Cookie
Context triple: [Ron Rich, notableWork, The Fortune Cookie]
  • A. The Fortune Cookie chosen
    The Fortune Cookie is a 1966 American comedy film starring Jack Lemmon and Walter Matthau, notable as their first on-screen pairing and for its blend of sharp wit and social satire.
  • B. The Peach Rolls
    "The Peach Rolls" is a musical piece from the film score of the animated fantasy movie "James and the Giant Peach."
  • C. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • D. Yo! Sushi
    Yo! Sushi is a UK-based restaurant chain known for its conveyor-belt served Japanese-inspired dishes, particularly sushi.
  • E. Las Galletas
    Las Galletas is a small coastal resort town in southern Tenerife, Spain, known for its fishing harbor, relaxed atmosphere, and oceanfront promenades.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e28e5c8190b0033c1667d50e05 completed April 19, 2026, 11:18 p.m.
Created at: April 10, 2026, 11:49 a.m.