Triple

T17940500
Position Surface form Disambiguated ID Type / Status
Subject A Journey to China in 1933 E448571 entity
Predicate partOf P40 FINISHED
Object One's Company 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: One's Company | Statement: [A Journey to China in 1933, partOf, One's Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One's Company
Context triple: [A Journey to China in 1933, partOf, One's Company]
  • A. One's Company chosen
    One's Company is a 1934 travel book by British writer Peter Fleming recounting his journey through remote regions of China.
  • B. Good Company
    Good Company is an American television sitcom featuring Wendie Malick, centered on the comedic dynamics within a workplace setting.
  • C. The Company You Keep
    The Company You Keep is a 2012 political thriller film directed by and starring Robert Redford, centered on a former Weather Underground activist forced to go on the run when his past is exposed.
  • D. In Good Company
    In Good Company is a 2004 comedy-drama film about a middle-aged advertising executive whose life is upended when his company is taken over and he finds himself working under a much younger boss, played by Topher Grace.
  • E. Misery Loves Company
    Misery Loves Company is a short-lived 1990s American sitcom best known for featuring Jane Leeves in one of her early television roles before her breakout on Frasier.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad95f4608190b1ebb45944218f07 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.