Triple

T20329402
Position Surface form Disambiguated ID Type / Status
Subject Graham Crowden E492430 entity
Predicate appearedIn P795 FINISHED
Object O Lucky Man! 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: O Lucky Man! | Statement: [Graham Crowden, appearedIn, O Lucky Man!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O Lucky Man!
Context triple: [Graham Crowden, appearedIn, O Lucky Man!]
  • A. O Lucky Man! chosen
    O Lucky Man! is a 1973 British satirical comedy-drama film directed by Lindsay Anderson, following an ambitious coffee salesman on a surreal, episodic journey through class, power, and corruption.
  • B. Lucky Man
    "Lucky Man" is a folk-influenced progressive rock song by Greg Lake, best known from Emerson, Lake & Palmer’s debut album and recognized for its distinctive Moog synthesizer solo.
  • C. Lucky Man
    "Lucky Man" is a 1997 Britpop/alternative rock song by The Verve, known for its reflective lyrics and anthemic, guitar-driven sound.
  • D. Mr. Lucky
    Mr. Lucky is a blues album by John Lee Hooker that features his signature electric blues style and collaborations with several prominent guest musicians.
  • E. Mr. Lucky
    Mr. Lucky is a 1943 romantic comedy-drama film starring Cary Grant as a charming gambler who becomes involved with a charitable organization during World War II.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e637e48190b5582e97fe1000c0 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.