Triple

T21627673
Position Surface form Disambiguated ID Type / Status
Subject James Stewart as Lin McAdam E533744 entity
Predicate characterName P36851 FINISHED
Object Lin McAdam 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: Lin McAdam | Statement: [James Stewart as Lin McAdam, characterName, Lin McAdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lin McAdam
Context triple: [James Stewart as Lin McAdam, characterName, Lin McAdam]
  • A. Lin McAdam chosen
    Lin McAdam is the determined and skilled gunslinger protagonist of the classic 1950 Western film "Winchester '73," portrayed by James Stewart.
  • B. Charles Kilgour
    Charles Kilgour was a 19th-century American businessman best known as a founder of the telecommunications company Cincinnati Bell.
  • C. Ian Cumming
    Ian Cumming was an American businessman and investor best known as the co-founder of the private equity firm Leucadia National Corporation and a prominent figure in diversified investments.
  • D. Thomas MacKay
    Thomas MacKay is a mountaineer known for completing the first recorded ascent of the peak Dom in the Swiss Alps.
  • E. Donald Meek
    Donald Meek was a Scottish-born American character actor known for his distinctive, mild-mannered roles in numerous Hollywood films of the 1930s and 1940s.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52141e1c8190a861f4bc7cfcb490 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.