Triple

T20578304
Position Surface form Disambiguated ID Type / Status
Subject Michael Shub E505281 entity
Predicate coAuthorWith P398 FINISHED
Object Lenore Blum 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: Lenore Blum | Statement: [Michael Shub, coAuthorWith, Lenore Blum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenore Blum
Context triple: [Michael Shub, coAuthorWith, Lenore Blum]
  • A. Lenore Blum chosen
    Lenore Blum is an American mathematician and computer scientist known for her work in complexity theory, real computation, and advocacy for women in STEM.
  • B. Genovefa Brenner
    Genovefa Brenner was the mother of the renowned German Romantic composer Carl Maria von Weber.
  • C. Joanna Cazden
    Joanna Cazden is an American speech-language pathologist, voice therapist, and author known for her work with professional voice users and performers.
  • D. Geraldine Freund
    Geraldine Freund is known primarily as the daughter of influential cinematographer and director Karl Freund.
  • E. Constance M. Burge
    Constance M. Burge is an American television writer and producer best known for developing and producing popular drama series in the late 1990s and early 2000s.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90cc22c8190969e3a21ae92f1c9 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.