Triple

T8889800
Position Surface form Disambiguated ID Type / Status
Subject Circus E211634 entity
Predicate hasTrack P3284 FINISHED
Object Womanizer E211633 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: Womanizer | Statement: [Circus, hasTrack, Womanizer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Womanizer
Context triple: [Circus, hasTrack, Womanizer]
  • A. Womanizer chosen
    "Womanizer" is a 2008 electropop single by Britney Spears known for its catchy hook, feminist-leaning lyrics, and role in revitalizing her career.
  • B. Ice Woman
    Ice Woman is the nickname of American explorer and photographer Louise Arner Boyd, renowned for her pioneering expeditions and scientific work in the Arctic.
  • C. The Cheat
    The Cheat is a 1915 American silent drama film directed by Cecil B. DeMille, noted for its controversial themes and innovative visual style.
  • D. The Lady Killer
    The Lady Killer is CeeLo Green’s critically acclaimed 2010 soul and R&B album best known for the hit single "Forget You."
  • E. Siduction
    Siduction is a Linux distribution derived from Debian, known for its rolling-release model and focus on providing an up-to-date, user-friendly desktop environment.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618f94108190b03248832bfe68a9 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabe955e08190a8d61cfaa2d52731 completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.