Triple

T15565854
Position Surface form Disambiguated ID Type / Status
Subject Love Is Strange E371111 entity
Predicate productionCompany P490 FINISHED
Object Parts and Labor E250901 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: Parts and Labor | Statement: [Love Is Strange, productionCompany, Parts and Labor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parts and Labor
Context triple: [Love Is Strange, productionCompany, Parts and Labor]
  • A. Parts and Labor chosen
    Parts and Labor is an independent film production company known for backing distinctive, auteur-driven movies.
  • B. Foreign Parts
    Foreign Parts is a track featured on the album "Smoke and Mirrors," known for its atmospheric style and reflective tone.
  • C. Part & Parcel
    Part & Parcel is a genre-blending reggae, ska, and punk-influenced album by London band The Skints that helped establish their reputation in the UK underground music scene.
  • D. Labori
    Labori was a prominent French defense lawyer best known for representing Alfred Dreyfus during the politically charged Dreyfus affair.
  • E. The Portion of Labor
    The Portion of Labor is a 1901 realist novel by Mary E. Wilkins Freeman that explores class conflict, labor unrest, and the lives of working-class women in a New England mill town.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddd753c8190b51eaef433258081 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456a3b08819092f9f517bbef5577 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:10 a.m.