Triple

T19351065
Position Surface form Disambiguated ID Type / Status
Subject Saban Building E484016 entity
Predicate namedAfter P63 FINISHED
Object Cheryl Saban 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: Cheryl Saban | Statement: [Saban Building, namedAfter, Cheryl Saban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheryl Saban
Context triple: [Saban Building, namedAfter, Cheryl Saban]
  • A. Cheryl Saban chosen
    Cheryl Saban is an American philanthropist, author, and psychologist known for her extensive charitable work in education, health, and women's empowerment, often alongside her husband, media mogul Haim Saban.
  • B. Kristen Saban
    Kristen Saban is the daughter of legendary college football coach Nick Saban and is known for her involvement in various charitable and university-related activities connected to his career.
  • C. Amanda Iger
    Amanda Iger is one of the children of longtime Disney CEO and media executive Bob Iger.
  • D. Miriam Adelson
    Miriam Adelson is an Israeli-American physician, philanthropist, and major political donor, known for her influential role in Republican politics and for co-owning the Las Vegas Sands casino empire.
  • E. Penny Vinik
    Penny Vinik is a philanthropist and community leader known for her extensive charitable work, particularly in the arts, education, and health initiatives, often associated with the Tampa Bay area.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61904a878819084d58ed3b7d8a978 completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.