Triple

T16622341
Position Surface form Disambiguated ID Type / Status
Subject K Callan E403864 entity
Predicate name P16 FINISHED
Object K Callan E403864 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: K Callan | Statement: [K Callan, name, K Callan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K Callan
Context triple: [K Callan, name, K Callan]
  • A. K Callan chosen
    K Callan is an American actress and author best known for her character roles in film and television, including notable appearances in series like "Lois & Clark: The New Adventures of Superman" and "Carnivàle."
  • B. Stephen Callaghan
    Stephen Callaghan is a notable individual recognized for bearing the surname Callaghan, though specific widely known public achievements or roles are not clearly documented.
  • C. Nick Callan
    Nick Callan is the central protagonist of the film "The Four Seasons," around whose experiences and relationships the story revolves.
  • D. Colin Callaghan
    Colin Callaghan is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Callaghan.
  • E. George Callahan
    George Callahan was a screenwriter active in early 20th-century American cinema, known for his work on films such as the 1935 adaptation of "The Last Days of Pompeii."
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db4a9288190aea7db58bb379404 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.