Triple

T15894384
Position Surface form Disambiguated ID Type / Status
Subject Anne Meara E385413 entity
Predicate notableWork P4 FINISHED
Object Fame E575972 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: Fame | Statement: [Anne Meara, notableWork, Fame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fame
Context triple: [Anne Meara, notableWork, Fame]
  • A. Fame
    "Fame" is a song by Janet Jackson, known as one of her dance-pop tracks that showcases her signature rhythmic style and performance energy.
  • B. Fame
    "Fame" is a 1975 funk-influenced song by David Bowie, co-written with John Lennon and Carlos Alomar, that became one of his signature hits and a U.S. number-one single.
  • C. Fame chosen
    Fame is a 1980 American musical drama film about students at a New York performing arts high school, known for its energetic dance sequences and iconic title song.
  • D. Fame
    "Fame" is a hip-hop track by DMX from his 1999 album "...And Then There Was X," reflecting on the pressures and consequences of celebrity status.
  • E. Fame
    Fame is the personified concept of widespread renown or reputation, often depicted in art and literature as a winged figure heralding glory or notoriety.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563809748190a54156b946d3f061 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04b55ec8190a5b3513b2afa4f83 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.