Triple

T21700131
Position Surface form Disambiguated ID Type / Status
Subject Annenberg E535633 entity
Predicate hasNotableMember P304 FINISHED
Object Leonore Annenberg 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: Leonore Annenberg | Statement: [Annenberg, hasNotableMember, Leonore Annenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonore Annenberg
Context triple: [Annenberg, hasNotableMember, Leonore Annenberg]
  • A. Leonore Annenberg chosen
    Leonore Annenberg was an American philanthropist and arts patron who served as Chief of Protocol of the United States and played a prominent role in cultural and educational initiatives.
  • B. Patricia Haines
    Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
  • C. Laura Bauer
    Laura Bauer is known as the spouse of American actor Chris Bauer.
  • D. Claudia Paley
    Claudia Paley is known primarily as the wife of American folk musician and guitarist Tom Paley.
  • E. Louise E. du Pont Crowninshield
    Louise E. du Pont Crowninshield was an American heiress and pioneering historic preservationist who played a key role in saving and restoring important early American buildings and interiors.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7edd3c8190bca83ef37598cbfb completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.