Triple

T3673966
Position Surface form Disambiguated ID Type / Status
Subject Lara E77944 entity
Predicate hasNotableBearer P458 FINISHED
Object Lara Logan E200400 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: Lara Logan | Statement: [Lara, hasNotableBearer, Lara Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lara Logan
Context triple: [Lara, hasNotableBearer, Lara Logan]
  • A. Lara Logan chosen
    Lara Logan is a South African television and radio journalist best known for her high-profile foreign correspondence and war reporting for CBS News.
  • B. 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.
  • C. Norah O'Donnell
    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.
  • D. Sally Quinn
    Sally Quinn is an American journalist, author, and longtime Washington Post writer known for her coverage of Washington society and politics.
  • E. Kimberly Woodruff
    Kimberly Woodruff is the longtime wife of rapper and actor Ice Cube, known for her low public profile and role as a supportive partner and mother in their family.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc45fbd1c819099023791452f1beb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48854a2308190ba6a9fc39929b35c completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.