Triple

T18260888
Position Surface form Disambiguated ID Type / Status
Subject Robert Goulet E437349 entity
Predicate notableWork P4 FINISHED
Object The Happy Time 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 Happy Time | Statement: [Robert Goulet, notableWork, The Happy Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Happy Time
Context triple: [Robert Goulet, notableWork, The Happy Time]
  • A. The Happy Time chosen
    The Happy Time is a 1952 American comedy-drama film, based on a play by Samuel A. Taylor, about a French-Canadian family in Quebec and their romantic and familial misadventures.
  • B. Happy Time
    "Happy Time" is an album by Canadian pianist and composer Frank Mills, known for its light, melodic instrumental pop style.
  • C. Happy Time
    Happy Time is a Filipino television program that aired on the Net 25 network, offering light entertainment and variety segments for a general audience.
  • D. Another Happy Day
    Another Happy Day is a 2011 independent drama film about a dysfunctional family reunion, noted for its darkly comedic tone and Ellen Barkin’s acclaimed lead performance.
  • E. Having Wonderful Time
    Having Wonderful Time is a 1937 comedic play by Arthur Kober about romantic and social misadventures at a Jewish summer resort in the Catskills.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7591b4819083f2b29d60298747 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.