Triple

T12479021
Position Surface form Disambiguated ID Type / Status
Subject The Adventures of Kathlyn E298253 entity
Predicate starred P5563 FINISHED
Object Lafe McKee E748475 NE FINISHED

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: Lafe McKee | Statement: [The Adventures of Kathlyn, starred, Lafe McKee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lafe McKee
Context triple: [The Adventures of Kathlyn, starred, Lafe McKee]
  • A. Lafe McKee chosen
    Lafe McKee was an American character actor best known for his prolific appearances in early Western films during the silent and early sound eras.
  • B. Sylvester Weaver
    Sylvester Weaver was an influential American television executive best known for shaping early network TV programming and serving as president of NBC.
  • C. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • D. Richard Farnsworth
    Richard Farnsworth was an American actor and former stuntman best known for his understated, dignified performances in films such as "The Straight Story" and "Comes a Horseman."
  • E. James McKernan
    James McKernan is a prominent mathematician known for his influential work in algebraic geometry, particularly in the minimal model program, which earned him major international honors.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcdcd3c81908ad29145db241408 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b82189081908deb76cdd4e65245 completed May 3, 2026, 12:49 a.m.
Created at: April 8, 2026, 9:56 p.m.