Triple

T11050903
Position Surface form Disambiguated ID Type / Status
Subject Lisa Rowe E261244 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Susanna Kaysen E831340 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: Susanna Kaysen | Statement: [Lisa Rowe, hasRelationshipWith, Susanna Kaysen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susanna Kaysen
Context triple: [Lisa Rowe, hasRelationshipWith, Susanna Kaysen]
  • A. Susanna Kaysen chosen
    Susanna Kaysen is an American writer best known for her memoir "Girl, Interrupted," which recounts her experiences in a psychiatric hospital in the 1960s.
  • B. Meredith Logue
    Meredith Logue is a fictional wealthy socialite character portrayed by Cate Blanchett in the 1999 film "The Talented Mr. Ripley."
  • C. Rosalyn Tureck
    Rosalyn Tureck was an American pianist and harpsichordist renowned for her pioneering, intellectually rigorous interpretations of Johann Sebastian Bach’s keyboard works.
  • D. Lili Jellinek
    Lili Jellinek was a member of the Jellinek family associated with the early history of the Mercedes automobile brand.
  • E. Sybil Newman
    Sybil Newman is known as the former spouse of American screenwriter and producer William Broyles Jr.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798698bd88190aa97afd37f55e19f completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa146b148190a87205e542cc718f completed April 18, 2026, 3:58 p.m.
Created at: April 8, 2026, 9:26 p.m.