Triple

T18066412
Position Surface form Disambiguated ID Type / Status
Subject Wintuan E432304 entity
Predicate hasNotableResearcher P14810 FINISHED
Object Catherine Callaghan 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 Callaghan | Statement: [Wintuan, hasNotableResearcher, Catherine Callaghan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Callaghan
Context triple: [Wintuan, hasNotableResearcher, Catherine Callaghan]
  • A. Catherine Callaghan chosen
    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.
  • B. Catherine Fogarty
    Catherine Fogarty is a notable individual recognized as a prominent bearer of the Fogarty surname.
  • C. 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.
  • D. Catherine Leahy
    Catherine Leahy is a notable individual who shares the surname Leahy, recognized enough to be specifically cited as a bearer of the name.
  • E. 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.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce97ce08190a2f8762ce545e091 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.