Triple

T6202276
Position Surface form Disambiguated ID Type / Status
Subject Connie Willis E138662 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: [Connie Willis, givenName, Constance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constance
Context triple: [Connie Willis, 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. Euphemia Gray
    Euphemia "Effie" Gray was a 19th-century Scottish woman best known for her annulled marriage to art critic John Ruskin and subsequent marriage to painter John Everett Millais, a scandal that captivated Victorian society.
  • D. Sybille
    Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
  • E. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626a32908190a3332008aee2e4a9 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f3bad2c8190b0ad0f2def3af9f7 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.