Triple

T5144912
Position Surface form Disambiguated ID Type / Status
Subject The Heartbreakers E116047 entity
Predicate recordLabel P1500 FINISHED
Object Track Records E435483 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: Track Records | Statement: [The Heartbreakers, recordLabel, Track Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Track Records
Context triple: [The Heartbreakers, 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 a critically acclaimed novel by Louise Erdrich that exemplifies the Native American Renaissance through its exploration of Ojibwe identity, history, and storytelling.
  • D. Tracklacers
    Tracklacers is a music production team known for working on pop and R&B records, including tracks on Christina Aguilera’s album "Lotus."
  • E. Trackside
    Trackside is a motorsports-focused television program that provided news, analysis, and behind-the-scenes coverage of auto racing events.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78aaeb1881909e1b416ea37a7b6d completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becff590ec81908ed03474f21a95f5 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:43 p.m.