Triple

T22172194
Position Surface form Disambiguated ID Type / Status
Subject The Shrike E547949 entity
Predicate castMember P1668 FINISHED
Object Richard Shannon 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: Richard Shannon | Statement: [The Shrike, castMember, Richard Shannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Shannon
Context triple: [The Shrike, castMember, Richard Shannon]
  • A. Richard Shannon chosen
    Richard Shannon was an American character actor known for his supporting roles in mid-20th-century films and television, often appearing in war and Western genres.
  • B. Frank Shannon
    Frank Shannon was an Irish-American character actor best known for his roles in early 20th-century films and serials, particularly in science fiction and adventure genres.
  • C. Robert Shannon
    Robert Shannon is the introspective Irish orphan who serves as the central coming-of-age protagonist in A. J. Cronin’s novel *The Green Years*.
  • D. Sam Sharkey
    Sam Sharkey is a character associated with the American folklore surrounding the legendary lumberjack Paul Bunyan.
  • E. Michael Carnes
    Michael Carnes is a screenwriter best known for co-writing the comedy film "Mr. Woodcock."
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a69c12c8190a03177b5b740456a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.