Triple

T20071639
Position Surface form Disambiguated ID Type / Status
Subject Gigi Hadid E499752 entity
Predicate sibling P363 FINISHED
Object Bella Hadid NE NERFINISHED

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: Bella Hadid | Statement: [Gigi Hadid, sibling, Bella Hadid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella Hadid
Context triple: [Gigi Hadid, sibling, Bella Hadid]
  • A. Bella Hadid chosen
    Bella Hadid is an American fashion model known for her work with major luxury brands and frequent appearances on international Vogue covers.
  • B. Gigi Hadid
    Gigi Hadid is an American fashion model and television personality who has become one of the most recognizable faces in the global modeling industry.
  • C. Yolanda Hadid
    Yolanda Hadid is a Dutch-American television personality, former model, and mother of models Gigi, Bella, and Anwar Hadid, best known for appearing on "The Real Housewives of Beverly Hills."
  • D. Karlie Kloss
    Karlie Kloss is an American fashion model and entrepreneur known for her high-profile runway work, including with major luxury brands, and for founding the coding education initiative Kode With Klossy.
  • E. Emily Ratajkowski
    Emily Ratajkowski is an American model and actress known for her breakout role in the thriller film "Gone Girl" and her prominent presence in fashion and popular culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.