Triple

T15991635
Position Surface form Disambiguated ID Type / Status
Subject Don Roos E387839 entity
Predicate wrote P2831 FINISHED
Object Single White Female E1157969 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: [Don Roos, wrote, Single White Female]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Single White Female
Context triple: [Don Roos, wrote, Single White Female]
  • A. Single White Female
    Single White Female is a 1992 psychological thriller film about a woman whose new roommate becomes dangerously obsessed with her.
  • B. Single White Female (1992 film) chosen
    Single White Female is a 1992 psychological thriller film about a woman whose new roommate becomes dangerously obsessed with her, leading to identity theft and escalating violence.
  • C. White Member
    White Member is a distinct stratigraphic subdivision of the Claron Formation, characterized by its light-colored sedimentary rock layers.
  • D. Young Woman
    "Young Woman" is a figurative painting by American realist artist Isabel Bishop, exemplifying her nuanced depictions of everyday urban women.
  • E. 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).
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1cb1388190b1ebccc6705e5974 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.