Triple

T22383902
Position Surface form Disambiguated ID Type / Status
Subject Carl Djerassi E553343 entity
Predicate hasRelative P367 FINISHED
Object Norma Djerassi 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: Norma Djerassi | Statement: [Carl Djerassi, hasRelative, Norma Djerassi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norma Djerassi
Context triple: [Carl Djerassi, hasRelative, Norma Djerassi]
  • A. Norma Djerassi chosen
    Norma Djerassi was the wife of chemist and "father of the pill" Carl Djerassi.
  • B. Dorothy Neumann
    Dorothy Neumann was an American character actress known for her numerous supporting roles in mid-20th-century films and television.
  • C. Sylvia Weinstein
    Sylvia Weinstein was the wife of famed American television host and entertainment impresario Ed Sullivan.
  • D. Helene Nesnakomoff
    Helene Nesnakomoff was the wife and lifelong companion of Russian expressionist painter Alexej von Jawlensky, sharing in his personal and artistic milieu in early 20th-century Europe.
  • E. Kathryn Reed Altman
    Kathryn Reed Altman was an American actress, documentarian, and archivist best known for preserving and promoting the legacy and work of her husband, filmmaker Robert Altman.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582d8e548190a7330de49d519675 completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.