Triple

T19872670
Position Surface form Disambiguated ID Type / Status
Subject Woman to Woman E477556 entity
Predicate producer P490 FINISHED
Object The Runners NE NERFINISHED

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: The Runners | Statement: [Woman to Woman, producer, The Runners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Runners
Context triple: [Woman to Woman, producer, The Runners]
  • A. The Runners chosen
    The Runners are an American record production duo known for crafting polished, radio-friendly hip hop and R&B tracks for major artists.
  • B. Shine Runners
    Shine Runners is a competitive multiplayer battle mode in the Mario Kart series where players collect and steal Shine Sprites within an arena.
  • C. The Run
    The Run is a small residential neighborhood in Pittsburgh, Pennsylvania, known for its tight-knit community and location near the city’s Greenfield area and Schenley Park.
  • D. The Run and Go
    "The Run and Go" is an energetic, fan-favorite song by Twenty One Pilots known for its upbeat sound contrasted with introspective, emotionally charged lyrics.
  • E. The Losers
    The Losers is a 2010 action film based on the DC/Vertigo comic series, following a betrayed elite black-ops team seeking revenge against the handler who tried to have them killed.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.