Triple

T20311118
Position Surface form Disambiguated ID Type / Status
Subject Alexa Kenin E510244 entity
Predicate notableWork P4 FINISHED
Object Little Darlings 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: Little Darlings | Statement: [Alexa Kenin, notableWork, Little Darlings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Darlings
Context triple: [Alexa Kenin, notableWork, 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. The Little Girls
    The Little Girls is a 1964 novel by Elizabeth Bowen that explores memory, aging, and the lingering impact of childhood through the reunion of three former schoolfriends.
  • D. Little Lover
    "Little Lover" is a blues-influenced hard rock song by AC/DC from their debut international album "High Voltage."
  • E. Listen, Darling
    Listen, Darling is a 1938 American musical comedy film best known for featuring a young Judy Garland in an early starring role.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677441f9c8190acf98dc92c77732b completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.