Triple

T13549731
Position Surface form Disambiguated ID Type / Status
Subject Tracks E323609 entity
Predicate adaptedAs P1926 FINISHED
Object Tracks (2013 film) E865661 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 (2013 film) | Statement: [Tracks, adaptedAs, Tracks (2013 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracks (2013 film)
Context triple: [Tracks, adaptedAs, Tracks (2013 film)]
  • A. Tracks (2013 film) chosen
    Tracks is a 2013 Australian biographical drama film that follows Robyn Davidson’s solo trek across the Australian desert with her camels, adapted from her memoir of the same name.
  • B. The Other Side of the Tracks
    The Other Side of the Tracks is a work created by American producer Gerald W. Abrams, recognized as one of his notable creative projects.
  • C. The Tracker
    "The Tracker" is a song featured on Bruce Springsteen's album "Long Walk Home," known for its reflective lyrics and rock-influenced sound.
  • D. On the Track
    "On the Track" is a 1975 album by Leon Redbone that introduced his distinctive blend of early jazz, blues, and Tin Pan Alley-style songs.
  • E. Train of Shadows
    Train of Shadows is a film associated with French actress Marie-José Nat, known for its atmospheric, introspective exploration of memory and identity.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.