Triple

T21037798
Position Surface form Disambiguated ID Type / Status
Subject Mrs. Columbo E518235 entity
Predicate characterNameLaterChangedTo P102760 FINISHED
Object Kate Callahan NE NERFINISHED

How this triple was built (3 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: Kate Callahan | Statement: [Mrs. Columbo, characterNameLaterChangedTo, Kate Callahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Callahan
Context triple: [Mrs. Columbo, characterNameLaterChangedTo, Kate Callahan]
  • A. Kate Callahan chosen
    Kate Callahan is a fictional FBI special agent and profiler who joins the Behavioral Analysis Unit in the television series "Criminal Minds."
  • B. Rachel O’Connor
    Rachel O’Connor is a film producer known for her work on the tennis drama movie "Challengers."
  • C. Kathleen Callahan
    Kathleen Callahan is a character featured in the 2000 documentary film "American Woman," which follows the lives and experiences of several American women.
  • D. Laura Callanan
    Laura Callanan is an American arts and social impact leader best known as the founding partner of Upstart Co-Lab and as the widow of playwright Romulus Linney.
  • E. Sarah Sullivan
    Sarah Sullivan is a fictional protagonist in an American-set story, around whom the central narrative and character development revolve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterNameLaterChangedTo
Context triple: [Mrs. Columbo, characterNameLaterChangedTo, Kate Callahan]
  • A. characterNameChange chosen
    Indicates that an entity’s character has undergone a change from one name to another.
  • B. changedNameInHonorOf
    Indicates that an entity altered its name specifically to honor or pay tribute to another entity.
  • C. changedNameOn
    Indicates that an entity altered or updated its name at a specific point in time or on a particular date.
  • D. changedNameIn
    Indicates that an entity has altered or adopted a different name within a specific context, time period, or jurisdiction.
  • E. changedNameBy
    Indicates that one entity altered or updated the name of another entity.
  • F. None of above.

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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcecf2508190a7647abb3c59debb completed April 21, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69e5dbf6728881908a2a43a5c8804a2a completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:05 p.m.