Triple

T22189849
Position Surface form Disambiguated ID Type / Status
Subject Sam Fuller E548388 entity
Predicate partnerOf P1136 FINISHED
Object Gracie Hart 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: Gracie Hart | Statement: [Sam Fuller, partnerOf, Gracie Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gracie Hart
Context triple: [Sam Fuller, partnerOf, Gracie Hart]
  • A. Gracie Hart chosen
    Gracie Hart is a tough yet endearingly awkward FBI agent and former undercover beauty pageant contestant known for blending sharp investigative skills with comedic charm.
  • B. Gracie Watson
    Gracie Watson is a famous child whose elaborate grave monument and haunting legend make her one of the most iconic figures associated with Savannah, Georgia’s Bonaventure Cemetery.
  • C. Gracie Lawrence
    Gracie Lawrence is an American singer and actress best known as the lead vocalist of the soul-pop band Lawrence.
  • D. Gracie Kramer
    Gracie Kramer is a former UCLA Bruins gymnast known for her powerful floor routines and leadership as a standout collegiate athlete.
  • E. Gracie Earles
    Gracie Earles was a performer and member of the Earles family of dwarf actors who appeared in early 20th-century American film and circus entertainment.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aac07d88190848c940863c0a0c7 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.