Triple

T4955491
Position Surface form Disambiguated ID Type / Status
Subject Louise Erdrich E111270 entity
Predicate notableWork P4 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: [Louise Erdrich, notableWork, Tracks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracks
Context triple: [Louise Erdrich, notableWork, 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. Songs Cycled
    Songs Cycled is a 2013 studio album by American composer and arranger Van Dyke Parks that revisits and reimagines his eclectic songwriting across new and previously released material.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71babb44819085b4cd4864433e79 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81da92b48190ab41ad8f7a891544 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.