Triple

T10592428
Position Surface form Disambiguated ID Type / Status
Subject Break Every Rule E250023 entity
Predicate mainSingle P16320 FINISHED
Object Typical Male E873856 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: Typical Male | Statement: [Break Every Rule, mainSingle, Typical Male]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Typical Male
Context triple: [Break Every Rule, mainSingle, Typical Male]
  • A. Typical Male chosen
    "Typical Male" is a 1986 pop-rock song by Tina Turner, released as a single from her album "Break Every Rule."
  • B. Male
    Male is the capital and most populous city of the Maldives, located on the southern edge of North Malé Atoll in the Indian Ocean.
  • C. Man
    Man was a prominent British anthropological journal that served as the main publication of the Royal Anthropological Institute before being continued under a new title.
  • D. Man
    Man is a 1996 studio album by Swedish singer-songwriter Neneh Cherry that blends pop, trip hop, and alternative influences and features her hit single "Woman."
  • E. Mies
    Mies is a small Swiss municipality in the canton of Vaud, located along Lake Geneva near the city of Geneva.
  • 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_69d96b59f80c81908afa84e4d9ffefc1 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:40 p.m.