Triple

T23281663
Position Surface form Disambiguated ID Type / Status
Subject Bella Abzug E588878 entity
Predicate givenName P17 FINISHED
Object Bella NE NERFINISHED

How this triple was built (3 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: Bella | Statement: [Bella Abzug, givenName, Bella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella
Context triple: [Bella Abzug, givenName, Bella]
  • A. Bella
    Bella is a 2006 independent drama film starring Tammy Blanchard that explores themes of love, redemption, and unexpected family.
  • B. Bella
    Bella is a character from Quentin Blake’s children’s picture book "Zagazoo," which humorously explores the chaos and transformations of childhood.
  • C. Bella
    Bella is one of the two iconic Liver Bird statues that sit atop the Royal Liver Building in Liverpool, symbolizing the city and its maritime heritage.
  • D. Bella
    Bella is the given name of Australian actress Bella Heathcote, known for her roles in film and television.
  • E. Bella
    Bella is a close friend of William Thacker, the fictional London bookseller portrayed by Hugh Grant in the romantic comedy film "Notting Hill."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bella
Target entity description: Bella is a feminine given name of Italian origin meaning "beautiful," commonly used on its own or as a diminutive of names like Isabella or Arabella.
  • A. Bella chosen
    Bella is a feminine given name commonly used in various cultures, often as a diminutive of names like Isabella or Arabella.
  • B. Bella
    Bella is the given name of Australian actress Bella Heathcote, known for her roles in film and television.
  • C. Bella
    Bella is the main human protagonist of the Twilight series, known for her introspective nature and complex relationship with the supernatural world.
  • D. Bella
    Bella is a 2006 independent drama film starring Tammy Blanchard that explores themes of love, redemption, and unexpected family.
  • E. Bella
    Bella is a character from Quentin Blake’s children’s picture book "Zagazoo," which humorously explores the chaos and transformations of childhood.
  • F. None of above.

Provenance (2 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19643b8908190a2c29552b272dc61 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:57 p.m.