Triple

T19202325
Position Surface form Disambiguated ID Type / Status
Subject MacGraw E480135 entity
Predicate hasNotableBearer P458 FINISHED
Object Ali MacGraw 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: Ali MacGraw | Statement: [MacGraw, hasNotableBearer, Ali MacGraw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali MacGraw
Context triple: [MacGraw, hasNotableBearer, Ali MacGraw]
  • A. Ali MacGraw chosen
    Ali MacGraw is an American actress and former fashion model best known for her role in the 1970 film "Love Story," for which she received an Academy Award nomination.
  • B. Ann O’Brien McGraw
    Ann O’Brien McGraw is an American women's college basketball coach best known for her long, highly successful tenure leading the University of Notre Dame's women's basketball program.
  • C. Maureen McGovern
    Maureen McGovern is an American singer and Broadway performer best known for her powerful pop and movie theme vocals, including the Oscar-winning hit "The Morning After."
  • D. Carly Simon
    Carly Simon is an American singer-songwriter known for her confessional pop hits of the 1970s, including the iconic song "You're So Vain."
  • E. Mary Shaw
    Mary Shaw was an American actress, suffragist, and social reformer known for her leadership in organizing women’s efforts during World War I and for advocating women’s rights in the early 20th century.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f9991ba48190ab92805daec3877b completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:12 p.m.