Triple

T18027697
Position Surface form Disambiguated ID Type / Status
Subject Gracie McGraw E431303 entity
Predicate hasRelative P367 FINISHED
Object Maggie McGraw 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: Maggie McGraw | Statement: [Gracie McGraw, hasRelative, Maggie McGraw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maggie McGraw
Context triple: [Gracie McGraw, hasRelative, Maggie McGraw]
  • A. Maggie McGraw chosen
    Maggie McGraw is one of the daughters of American country music star Tim McGraw and singer Faith Hill, occasionally appearing in the public eye alongside her famous parents.
  • B. Jordan McGraw
    Jordan McGraw is an American pop-rock singer and guitarist known for his solo work and for touring with major pop acts.
  • C. Maggie Madsen
    Maggie Madsen is a brilliant Australian signals analyst and hacker character in the 2007 film "Transformers."
  • D. Audrey McGraw
    Audrey McGraw is the daughter of country music star Tim McGraw and singer Faith Hill, known publicly through her parents’ prominence in the entertainment industry.
  • E. Eloise Jarvis McGraw
    Eloise Jarvis McGraw was an American author best known for her historical novels and her contributions to the Oz series, including co-authoring several later Oz books.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c7be308190af0d77c0df6d94ce completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:25 a.m.