Triple

T10169730
Position Surface form Disambiguated ID Type / Status
Subject Edward Lewis E235298 entity
Predicate notableWork P4 FINISHED
Object The Happy Ending E169589 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: The Happy Ending | Statement: [Edward Lewis, notableWork, The Happy Ending]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Happy Ending
Context triple: [Edward Lewis, notableWork, The Happy Ending]
  • A. The Happy Ending chosen
    The Happy Ending is a 1969 American drama film written and directed by Richard Brooks, starring Jean Simmons as a disillusioned housewife who abruptly leaves her comfortable suburban life in search of independence and self-discovery.
  • B. "Happy Ending"
    "Happy Ending" is a pop song by British singer-songwriter Mika, known for its emotive lyrics and soaring, melodic chorus.
  • C. My Happy Ending
    "My Happy Ending" is a 2004 pop-punk breakup anthem by Avril Lavigne, known for its emotional lyrics and powerful chorus.
  • D. 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.
  • E. The Farewell Party
    The Farewell Party is a film produced by Andrew Miano, best known as a dark comedy-drama about elderly friends in a retirement home who build a euthanasia machine to help a terminally ill companion.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9ba56481908b5265aea8ea8cbe completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300f7aafc8190be874efc755bd188 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.