Triple

T12750031
Position Surface form Disambiguated ID Type / Status
Subject Three Smart Girls E304705 entity
Predicate starring P1507 FINISHED
Object Nan Grey E817111 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: Nan Grey | Statement: [Three Smart Girls, starring, Nan Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nan Grey
Context triple: [Three Smart Girls, starring, Nan Grey]
  • A. Nan Grey chosen
    Nan Grey was an American film actress of the 1930s and 1940s, known for her roles in Hollywood dramas and horror films.
  • B. Margot Grahame
    Margot Grahame was a British actress best known for her roles in 1930s and 1940s films, including prominent performances in Hollywood dramas and adventure movies.
  • C. Gwendolyn Rickard
    Gwendolyn Rickard was the longtime wife of American actor and dancer Ray Bolger, best known for his role as the Scarecrow in "The Wizard of Oz."
  • D. Leslie Harding
    Leslie Harding is an individual notable enough to be recognized as a bearer of the surname Harding, though specific widely known public details about them are not clearly established.
  • E. Rose Gray
    Rose Gray was a renowned British chef and restaurateur, best known as co-founder of London's River Café and for her influential modern Italian cookbooks.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd75f508190aaae0969f33d1523 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c964c508190b4d6a094b388280b completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.