Triple

T11343690
Position Surface form Disambiguated ID Type / Status
Subject Taurean Blacque E268662 entity
Predicate performedIn P795 FINISHED
Object Generations E728165 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: Generations | Statement: [Taurean Blacque, performedIn, Generations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Generations
Context triple: [Taurean Blacque, performedIn, Generations]
  • A. Generations
    Generations is a solo album by musician Will Butler, known for its energetic indie rock style and introspective, socially aware songwriting.
  • B. Generations chosen
    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.
  • C. Three Generations
    "Three Generations" is a biographical and historical work by Maud Howe Elliott that chronicles the lives and legacy of three generations of her prominent New England family.
  • D. A Generation
    A Generation is a 1955 Polish drama film directed by Andrzej Wajda that portrays young resistance fighters in Nazi-occupied Warsaw and is considered a landmark of postwar Polish cinema.
  • E. Baby Boom
    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.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5435f4e288190b9b0029dc35bf2c5 completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.