Triple

T12195059
Position Surface form Disambiguated ID Type / Status
Subject Rebecca West E290565 entity
Predicate givenName P17 FINISHED
Object Cicely E714495 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: Cicely | Statement: [Rebecca West, givenName, Cicely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cicely
Context triple: [Rebecca West, givenName, Cicely]
  • A. Cicely chosen
    Cicely is a feminine given name most famously borne by the acclaimed American actress Cicely Tyson.
  • B. Cicely Courtneidge
    Cicely Courtneidge was a British actress and comedienne known for her work on stage and screen from the early 20th century through the 1960s.
  • C. Cicely Evans
    Cicely Evans is best known as the wife of American actor and diplomat John Gavin.
  • D. Constance
    Constance is a feminine given name of Latin origin, historically associated with nobility and meaning steadfastness or constancy.
  • E. Constance
    Constance is a historic city on Lake Constance in present-day Germany, best known as the site of the early 15th-century Council of Constance that ended the Western Schism in the Catholic Church.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c55a5a881909c0eea2d83c00f49 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8f31508190972d282b5a8816df completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.