Triple

T8661098
Position Surface form Disambiguated ID Type / Status
Subject Norah O'Donnell E205549 entity
Predicate name P16 FINISHED
Object Norah O'Donnell E205549 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: Norah O'Donnell | Statement: [Norah O'Donnell, name, Norah O'Donnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norah O'Donnell
Context triple: [Norah O'Donnell, name, Norah O'Donnell]
  • A. Norah O'Donnell chosen
    Norah O'Donnell is an American television journalist and news anchor best known for her work as a leading correspondent and anchor at CBS News.
  • B. Andrea Mitchell
    Andrea Mitchell is an American television journalist and longtime NBC News correspondent known for her coverage of U.S. politics and foreign affairs.
  • C. Maria Bartiromo
    Maria Bartiromo is an American financial journalist and television news anchor known for her pioneering work on CNBC and later Fox Business Network.
  • D. Judy Woodruff
    Judy Woodruff is an American broadcast journalist best known for her long tenure as a leading anchor and managing editor of PBS’s flagship news program.
  • E. Lara Logan
    Lara Logan is a South African television and radio journalist best known for her high-profile foreign correspondence and war reporting for CBS News.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc487147248190b5f1bff836a11e68 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccfda1dc8190a3b93b1c7e813f33 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.