Triple

T1287844
Position Surface form Disambiguated ID Type / Status
Subject Belle Bennett E27475 entity
Predicate name P16 FINISHED
Object Belle Bennett E27475 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: Belle Bennett | Statement: [Belle Bennett, name, Belle Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belle Bennett
Context triple: [Belle Bennett, name, Belle Bennett]
  • A. Belle Bennett chosen
    Belle Bennett was an American stage and silent film actress best known for her emotionally powerful performances in early 20th-century cinema.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Sophie Neveu
    Sophie Neveu is a French cryptologist and the granddaughter of a murdered Louvre curator who becomes Robert Langdon’s key partner in unraveling religious and historical mysteries in Dan Brown’s novel "The Da Vinci Code."
  • D. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • E. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d38d7c81908941edda9cac5d6a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca3013578819091bcb1991f309bbc completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:51 p.m.