Triple

T10323256
Position Surface form Disambiguated ID Type / Status
Subject Suzie Gold E242691 entity
Predicate productionCompany P490 FINISHED
Object Fragile Films E517085 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: Fragile Films | Statement: [Suzie Gold, productionCompany, Fragile Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fragile Films
Context triple: [Suzie Gold, productionCompany, Fragile Films]
  • A. Fragile Films chosen
    Fragile Films is a British film production company known for backing independent and often offbeat feature films.
  • B. Fragile
    "Fragile" is a 1971 progressive rock album by the band Yes, featuring Jon Anderson as lead vocalist and known for its complex compositions and iconic cover art.
  • C. Fragile
    "Fragile" is a 1985 song by English musician Sting, known for its gentle acoustic style and reflective lyrics on the themes of violence and human vulnerability.
  • D. Anémic Cinéma
    Anémic Cinéma is a 1926 experimental short film by Marcel Duchamp that features spinning optical discs and playful French word games, often associated with the Dada and Surrealist movements.
  • E. Celluloid
    Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da2053481908fe5ed097b480cdd completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.