Triple

T8144973
Position Surface form Disambiguated ID Type / Status
Subject Joanna Freda Hare Breyer E190185 entity
Predicate birthName P65 FINISHED
Object Joanna Freda Hare E190185 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: Joanna Freda Hare | Statement: [Joanna Freda Hare Breyer, birthName, Joanna Freda Hare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joanna Freda Hare
Context triple: [Joanna Freda Hare Breyer, birthName, Joanna Freda Hare]
  • A. Joanna Freda Hare Breyer chosen
    Joanna Freda Hare Breyer is a British-born psychologist and author known for her work with children facing serious illness and for being married to former U.S. Supreme Court Justice Stephen G. Breyer.
  • B. Helen Morris
    Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
  • C. Frieda Lawrence
    Frieda Lawrence was a German-born literary figure and muse best known as the wife and close collaborator of English novelist D. H. Lawrence.
  • D. Winifred Gillis
    Winifred Gillis is a fictional character from the American television sitcom "The Many Loves of Dobie Gillis."
  • E. Helen Wood
    Helen Wood is the wife of Scottish businessman and philanthropist Sir Ian Wood, former chairman of the Wood Group.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4445f1948190b8d319b60dd47f65 completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cef298986c8190a253d5c61310a23a completed April 2, 2026, 10:50 p.m.
Created at: March 30, 2026, 5:36 p.m.