Triple

T10009383
Position Surface form Disambiguated ID Type / Status
Subject James and the Giant Peach (film score) E198331 entity
Predicate includesSong P7178 FINISHED
Object Clouds E43677 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: Clouds | Statement: [James and the Giant Peach (film score), includesSong, Clouds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clouds
Context triple: [James and the Giant Peach (film score), includesSong, Clouds]
  • A. Clouds
    "Clouds" is a 2020 biographical musical drama film about teenage musician Zach Sobiech, known for its emotional storytelling and popular title song.
  • B. Clouds chosen
    Clouds is a 1969 folk album by Canadian singer-songwriter Joni Mitchell, featuring introspective songwriting and including her classic song "Both Sides, Now."
  • C. Clouds
    "Clouds" is a stage play by British playwright Michael Frayn, known for its witty exploration of human relationships and social dynamics.
  • D. Clouds
    Clouds is a musical act known for performing at venues such as The Gallery.
  • E. Wolken
    Wolken is a philosophical work by the 18th-century German thinker Johann Georg Hamann, reflecting his characteristically critical and religiously grounded response to Enlightenment rationalism.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd38659c8190830d223edbfd74ec completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a7265b88190b69e7869a96bb404 completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:52 p.m.