Triple

T5878406
Position Surface form Disambiguated ID Type / Status
Subject Carl Djerassi E130681 entity
Predicate spouse P13 FINISHED
Object Vera Djerassi E553343 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: Vera Djerassi | Statement: [Carl Djerassi, spouse, Vera Djerassi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Djerassi
Context triple: [Carl Djerassi, spouse, Vera Djerassi]
  • A. Norma Djerassi chosen
    Norma Djerassi was the wife of chemist and "father of the pill" Carl Djerassi.
  • B. Esther Ehrlich
    Esther Ehrlich is an author best known for her critically acclaimed debut novel "Nest," a middle-grade work exploring family, illness, and resilience.
  • C. Nina Fedoroff
    Nina Fedoroff is an American molecular biologist and geneticist renowned for her pioneering work on plant transposable elements and contributions to agricultural biotechnology.
  • D. Ursula Franklin
    Ursula Franklin was a German-Canadian physicist, metallurgist, and pacifist renowned for her pioneering work in materials science and her influential writings on technology, peace, and social justice.
  • E. Louisa Gross Horwitz
    Louisa Gross Horwitz was an American medical researcher and philanthropist whose legacy in biomedical science is honored through a prestigious Columbia University award recognizing outstanding work in biology and biochemistry.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036327efc8190858e9364cd5d317b completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bff29200819080c7d9269ad80c53 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:57 p.m.