Triple

T15436901
Position Surface form Disambiguated ID Type / Status
Subject Bridget Fonda E369787 entity
Predicate notableWork P4 FINISHED
Object Single White Female E296010 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: Single White Female | Statement: [Bridget Fonda, notableWork, Single White Female]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Single White Female
Context triple: [Bridget Fonda, notableWork, Single White Female]
  • A. Single White Female chosen
    Single White Female is a 1992 psychological thriller film about a woman whose new roommate becomes dangerously obsessed with her.
  • B. White Member
    White Member is a distinct stratigraphic subdivision of the Claron Formation, characterized by its light-colored sedimentary rock layers.
  • C. Young Woman
    "Young Woman" is a figurative painting by American realist artist Isabel Bishop, exemplifying her nuanced depictions of everyday urban women.
  • D. Whites
    Whites is an alternative name for the White movement, the loose coalition of anti-Bolshevik forces that fought against the Red Army during the Russian Civil War (1917–1923).
  • E. Whites
    The Whites, or White Mountains, are a rugged mountain range in northern New Hampshire known for their high peaks, challenging hiking trails, and iconic sections of the Appalachian Trail.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a5e55c81909801db54032589ac completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.