Triple

T21877152
Position Surface form Disambiguated ID Type / Status
Subject Blank Generation E540176 entity
Predicate recordLabel P1500 FINISHED
Object Track Records 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: Track Records | Statement: [Blank Generation, recordLabel, Track Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Track Records
Context triple: [Blank Generation, recordLabel, Track Records]
  • A. Track Records chosen
    Track Records was a British independent record label best known for releasing influential rock music in the late 1960s, including albums by The Jimi Hendrix Experience.
  • B. Tracks
    Tracks is a 2013 biographical drama film chronicling Robyn Davidson’s 1,700-mile trek across the Australian desert, produced by Iain Canning.
  • C. Tracks
    Tracks is an Autobot warrior from the Transformers franchise, best known for his sleek blue Corvette alternate mode and his appearances in various toy lines and animated series.
  • D. Tracks
    Tracks is a 1976 independent drama film directed by Henry Jaglom, following a disturbed Vietnam War veteran escorting a fallen comrade’s body by train across the United States.
  • E. Tracks
    "Tracks" is a critically acclaimed novel by Louise Erdrich that exemplifies the Native American Renaissance through its exploration of Ojibwe identity, history, and storytelling.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33a4e608190bd25bfa3fb5cac10 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:02 p.m.