Triple

T10286922
Position Surface form Disambiguated ID Type / Status
Subject Barry Malkin E241251 entity
Predicate edited P1932 FINISHED
Object Little Darlings E653805 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: Little Darlings | Statement: [Barry Malkin, edited, Little Darlings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Darlings
Context triple: [Barry Malkin, edited, Little Darlings]
  • A. Little Darlings chosen
    Little Darlings is a 1980 coming-of-age comedy-drama film about two teenage girls at summer camp who make a bet to see who can lose her virginity first.
  • B. Little Darling
    "Little Darling" is a popular doo-wop song best known from the 1950s rock and roll era, associated with vocal harmony groups like The Coasters.
  • C. Listen, Darling
    Listen, Darling is a 1938 American musical comedy film best known for featuring a young Judy Garland in an early starring role.
  • D. Little Joy
    Little Joy is an indie rock band formed by members of The Strokes and Los Hermanos, known for its laid-back, Brazilian-influenced sound.
  • E. Precious Little
    Precious Little is a play by Madeleine George that explores language, communication, and human connection through the story of a linguist facing a difficult prenatal diagnosis.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b924908190879a7b6b70e0109a completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f84d432c8190a7d33e6c9f8ba8f2 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:40 a.m.