Triple

T12810995
Position Surface form Disambiguated ID Type / Status
Subject Nancy Meyers E306268 entity
Predicate screenwriterOf P2831 FINISHED
Object Baby Boom E843524 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: Baby Boom | Statement: [Nancy Meyers, screenwriterOf, Baby Boom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baby Boom
Context triple: [Nancy Meyers, screenwriterOf, Baby Boom]
  • A. Baby Boom chosen
    Baby Boom is a 1987 comedy film about a high-powered New York businesswoman whose life is upended when she unexpectedly becomes the guardian of a baby.
  • B. Baby Boom Baby
    "Baby Boom Baby" is a song by James Taylor from his 1988 album "Never Die Young," reflecting on the experiences and culture of the post–World War II baby boom generation.
  • C. Generations
    Generations is a long-running South African television soap opera that follows the intertwined lives and ambitions of characters in Johannesburg’s media and business world.
  • D. Generations
    Generations is a solo album by musician Will Butler, known for its energetic indie rock style and introspective, socially aware songwriting.
  • E. The Boom
    The Boom was a Japanese rock band best known for their 1993 hit single "Shima Uta," which blended rock with Okinawan folk influences.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec89eb081909915af6e2216e0a2 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.