Triple

T6362090
Position Surface form Disambiguated ID Type / Status
Subject Love Medicine E143133 entity
Predicate hasSequel P1961 FINISHED
Object Tracks E143134 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: Tracks | Statement: [Love Medicine, hasSequel, Tracks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracks
Context triple: [Love Medicine, hasSequel, Tracks]
  • A. Tracks
    Tracks is a 2013 biographical drama film chronicling Robyn Davidson’s 1,700-mile trek across the Australian desert, produced by Iain Canning.
  • B. Tracks chosen
    "Tracks" is a critically acclaimed novel by Louise Erdrich that exemplifies the Native American Renaissance through its exploration of Ojibwe identity, history, and storytelling.
  • C. Track Records
    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.
  • D. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • E. Tune
    Tune is a historic Viking ship burial site in Norway, notable for yielding one of the earliest known Viking ships, the Tune ship.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680c02b481908618317566e31a5c completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d6d906481908b5883bff18ceec8 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.