Triple

T5878357
Position Surface form Disambiguated ID Type / Status
Subject Carl Djerassi E130681 entity
Predicate familyName P18 FINISHED
Object Djerassi
Djerassi is a surname most prominently associated with Carl Djerassi, the chemist known as a co-inventor of the oral contraceptive pill.
 E553340 NE FINISHED

How this triple was built (4 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. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • B. 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.
  • C. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • D. Djuna
    Djuna is a distinctive given name most famously associated with the modernist writer and artist Djuna Barnes.
  • E. Bernal
    Bernal is a Spanish given name most famously borne by the conquistador and chronicler Bernal Díaz del Castillo, known for his detailed account of the conquest of Mexico.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Djerassi
Triple: [Carl Djerassi, familyName, Djerassi]
Generated description
Djerassi is a surname most prominently associated with Carl Djerassi, the chemist known as a co-inventor of the oral contraceptive pill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Djerassi
Target entity description: Djerassi is a surname most prominently associated with Carl Djerassi, the chemist known as a co-inventor of the oral contraceptive pill.
  • A. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • B. 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.
  • C. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • D. Djuna
    Djuna is a distinctive given name most famously associated with the modernist writer and artist Djuna Barnes.
  • E. Bernal
    Bernal is a Spanish given name most famously borne by the conquistador and chronicler Bernal Díaz del Castillo, known for his detailed account of the conquest of Mexico.
  • F. None of above. chosen

Provenance (5 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_69c0b12861c081909f95f1ef6a1f457c completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b299fe78819089a2ca8a1ae44329 completed March 23, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0b2ea7e60819099417b5acb21f8d0 completed March 23, 2026, 3:26 a.m.
Created at: March 22, 2026, 3:57 p.m.