Triple

T1282503
Position Surface form Disambiguated ID Type / Status
Subject Clémentine E27357 entity
Predicate hasVariant P455 FINISHED
Object Clémentyne E27357 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: Clémentyne | Statement: [Clémentine, hasVariant, Clémentyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clémentyne
Context triple: [Clémentine, hasVariant, Clémentyne]
  • A. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • B. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • C. Marguerite
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • D. Jeanette
    Jeanette is the given name of Jennie Jerome, the American-born British socialite best known as the mother of Winston Churchill.
  • E. Clémentine chosen
    Clémentine is a feminine given name of French origin, commonly used in Francophone 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b47be08190828a1c0a11d94ce8 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a3865c819093a6ffd1a8c74e2e completed March 8, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:50 p.m.