Triple

T21873712
Position Surface form Disambiguated ID Type / Status
Subject Solid Space E540074 entity
Predicate hasPart P35 FINISHED
Object To the Runner 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: To the Runner | Statement: [Solid Space, hasPart, To the Runner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: To the Runner
Context triple: [Solid Space, hasPart, To the Runner]
  • A. To the Runner chosen
    "To the Runner" is a track from Jon Anderson’s 1976 progressive rock concept album *Olias of Sunhillow*, known for its ethereal vocals and richly layered, otherworldly soundscapes.
  • B. The Runner
    The Runner is a film produced by Pearl Street Films, the production company co-founded by actors Matt Damon and Ben Affleck.
  • C. The Runner
    "The Runner" is a song by American rock band Kings of Leon from their 2007 album "Because of the Times."
  • D. The Runner
    The Runner is a baseball player who has reached base and is attempting to advance safely around the bases to score a run.
  • E. The Runner
    The Runner is a lesser-known work by American novelist Don DeLillo, recognized as part of his broader body of postmodern, psychologically probing fiction.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f338757c81908005bfedb52b03cc completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:01 p.m.