Triple

T20295323
Position Surface form Disambiguated ID Type / Status
Subject Victoria Jackson E505333 entity
Predicate notableWork P4 FINISHED
Object Baby Boom 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: Baby Boom | Statement: [Victoria Jackson, notableWork, Baby Boom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baby Boom
Context triple: [Victoria Jackson, notableWork, 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. And Baby Makes Seven
    And Baby Makes Seven is a darkly comic stage play by Paula Vogel that explores unconventional family structures, imagination, and queer identity.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:15 a.m.