Triple

T15689613
Position Surface form Disambiguated ID Type / Status
Subject La Petite Reine E380291 entity
Predicate notableWork P4 FINISHED
Object Stars 80 E1171589 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: Stars 80 | Statement: [La Petite Reine, notableWork, Stars 80]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stars 80
Context triple: [La Petite Reine, notableWork, Stars 80]
  • A. Stars 80 chosen
    Stars 80 is a French comedy film that nostalgically celebrates the pop music and performers of the 1980s.
  • B. Stars 80, la suite
    Stars 80, la suite is a French comedy film that continues the nostalgic, music-filled adventures of aging 1980s pop stars dealing with their faded fame and personal mishaps.
  • C. Star 80
    Star 80 is a 1983 biographical crime drama film that chronicles the tragic life and murder of Playboy model Dorothy Stratten.
  • D. Los 80
    Los 80 is a Chilean television drama series that portrays the life of a middle-class family during the politically turbulent 1980s in Chile.
  • E. The 80s: A Look Back
    The 80s: A Look Back is a satirical book co-created by humorist Christopher Cerf that parodies a retrospective history of the 1980s written from the perspective of the year 1993.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756ffcc88190a72440c7b40711ff completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:44 a.m.