Triple

T21572199
Position Surface form Disambiguated ID Type / Status
Subject Catherine E532310 entity
Predicate hasTitleCharacter P5716 FINISHED
Object Catherine Hayes 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: Catherine Hayes | Statement: [Catherine, hasTitleCharacter, Catherine Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Hayes
Context triple: [Catherine, hasTitleCharacter, Catherine Hayes]
  • A. Catherine Hayes chosen
    Catherine Hayes is a fictional protagonist named Catherine who serves as the central character in the story that follows her experiences and development.
  • B. Catherine Hayes
    Catherine Hayes was a renowned 19th-century Irish soprano celebrated for her international opera and concert performances.
  • C. Catherine Callaghan
    Catherine Callaghan was a linguist known for her influential work on Native American languages, particularly her research on and classification of the Utian language family.
  • D. Catherine O'Hare
    Catherine O'Hare is a Canadian-born actress, writer, and comedian best known for her work with SCTV and her roles in films like "Beetlejuice" and the "Home Alone" series.
  • E. Catherine O'Rourke
    Catherine O'Rourke is a fictional protagonist from Christian legal suspense novels, known for being a young reporter entangled in high-profile criminal and faith-related controversies.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cd50188190b44eb25fb87312bb completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.