Triple

T22975330
Position Surface form Disambiguated ID Type / Status
Subject The Good Companions (1931 film) E571299 entity
Predicate starred P5563 FINISHED
Object Gordon Harker 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: Gordon Harker | Statement: [The Good Companions (1931 film), starred, Gordon Harker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Harker
Context triple: [The Good Companions (1931 film), starred, Gordon Harker]
  • A. Gordon Harker chosen
    Gordon Harker was an English stage and film actor best known for his character roles in British cinema from the silent era through the mid-20th century.
  • B. Walter Crickmer
    Walter Crickmer was an English football club secretary and manager for Manchester United who was among those who died in the 1958 Munich air disaster.
  • C. Herbert Badgery
    Herbert Badgery is the charismatic, unreliable narrator and central figure of Peter Carey’s novel "Illywhacker," known for his tall tales and self-proclaimed status as a 139-year-old con man.
  • D. Charlie Hesketh
    Charlie Hesketh is a supporting antagonist in the Kingsman film series, known as a former Kingsman recruit who becomes a vengeful adversary to the organization.
  • E. Edward Shearmur
    Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18235de508190ab9675d005870ff6 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.