Triple

T22383770
Position Surface form Disambiguated ID Type / Status
Subject Carl Djerassi E553340 entity
Predicate familyName P18 FINISHED
Object 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: Djerassi | Statement: [Carl Djerassi, familyName, Djerassi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Djerassi
Context triple: [Carl Djerassi, familyName, Djerassi]
  • A. Djerassi chosen
    Djerassi is a surname most prominently associated with Carl Djerassi, the chemist known as a co-inventor of the oral contraceptive pill.
  • B. Scheinberg
    Scheinberg is a mountain peak in the Steigerwald range of Germany, known as its highest point.
  • C. Redon
    Redon is a deity from ancient Illyrian pagan religion, likely associated with local cult worship in the western Balkans.
  • D. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • E. Redon
    Redon is a small historic town in western France known for its canal junction and medieval abbey, situated near the borders of Brittany and Pays de la Loire.
  • 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.