Triple

T15991633
Position Surface form Disambiguated ID Type / Status
Subject Don Roos E387839 entity
Predicate wrote P2831 FINISHED
Object Happy Endings E1187273 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: Happy Endings | Statement: [Don Roos, wrote, Happy Endings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy Endings
Context triple: [Don Roos, wrote, Happy Endings]
  • A. Happy Endings
    Happy Endings is an American ensemble sitcom that follows a close-knit group of friends navigating relationships and adulthood in Chicago with fast-paced, joke-heavy humor.
  • B. Happy Endings chosen
    Happy Endings is a 2005 ensemble dramedy film written and directed by Don Roos that interweaves multiple Los Angeles–set stories about relationships, secrets, and unconventional families.
  • C. Happy End
    Happy End is a 1929 satirical musical play with songs by Kurt Weill and lyrics by Bertolt Brecht, known for its blend of political commentary and cabaret-style music.
  • D. A Happy End
    A Happy End is a stage play by Israeli playwright Iddo Netanyahu that portrays a Jewish couple in 1930s Berlin grappling with the rising threat of Nazism and the agonizing decision of whether to leave Germany.
  • E. "Happy Ending"
    "Happy Ending" is a pop song by British singer-songwriter Mika, known for its emotive lyrics and soaring, melodic chorus.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbc8a8a081908ac1b431f524d650 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:54 a.m.