Triple

T14457254
Position Surface form Disambiguated ID Type / Status
Subject Constance of Wrocław E358488 entity
Predicate givenName P17 FINISHED
Object Constance E246027 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: Constance | Statement: [Constance of Wrocław, givenName, Constance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constance
Context triple: [Constance of Wrocław, givenName, Constance]
  • A. Constance chosen
    Constance is a feminine given name of Latin origin, historically associated with nobility and meaning steadfastness or constancy.
  • B. 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.
  • C. Cicely
    Cicely is a feminine given name most famously borne by the acclaimed American actress Cicely Tyson.
  • D. Marjory
    Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
  • E. Mathilda
    Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a9c0d48190ae015e5e0db806ca completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64935d8081908e5b0e80027948e0 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.