Triple

T10592483
Position Surface form Disambiguated ID Type / Status
Subject Foreign Affair E250024 entity
Predicate notableSingle P3283 FINISHED
Object Steamy Windows E873862 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: Steamy Windows | Statement: [Foreign Affair, notableSingle, Steamy Windows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steamy Windows
Context triple: [Foreign Affair, notableSingle, Steamy Windows]
  • A. Steamy Windows chosen
    "Steamy Windows" is a bluesy rock song by Tina Turner, known for its sultry lyrics and energetic performance.
  • B. As Seen Through Windows
    As Seen Through Windows is a critically acclaimed instrumental album by the Canadian ensemble Bell Orchestre, known for its experimental blend of post-rock, classical, and ambient sounds.
  • C. Through the Window
    "Through the Window" is a song featured on Eddie Vedder’s acoustic solo album "Higher Truth."
  • D. Through a Window
    Through a Window is a book by primatologist Jane Goodall that reflects on her decades of research and personal experiences with chimpanzees in the wild.
  • E. The Window
    "The Window" is a 1949 American film noir thriller about a young boy who witnesses a murder but struggles to convince adults that the crime really occurred.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277da8048190add007ca0c37253e completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b6109f08190915953e0ab708981 completed April 10, 2026, 9:28 p.m.
Created at: April 6, 2026, 12:40 p.m.