Triple

T9879991
Position Surface form Disambiguated ID Type / Status
Subject Cirkut E180774 entity
Predicate name P16 FINISHED
Object Cirkut E180774 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: Cirkut | Statement: [Cirkut, name, Cirkut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cirkut
Context triple: [Cirkut, name, Cirkut]
  • A. Cirkut chosen
    Cirkut is a Canadian record producer and songwriter best known for crafting chart-topping pop hits for artists like Katy Perry, The Weeknd, and Miley Cyrus.
  • B. Braison Cyrus
    Braison Cyrus is an American actor, model, and musician best known as a member of the Cyrus entertainment family.
  • C. Corbin Bleu
    Corbin Bleu is an American actor, singer, and dancer best known for his breakout role in Disney Channel’s High School Musical franchise and subsequent work in film, television, and theater.
  • D. Taio Cruz
    Taio Cruz is a British singer, songwriter, and record producer best known for his international pop and dance hits like "Dynamite" and "Break Your Heart."
  • E. Mitchel Musso
    Mitchel Musso is an American actor, singer, and musician best known for his roles on Disney Channel series such as "Hannah Montana" and "Pair of Kings."
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4146fe881908f9fc553dfca31e1 completed April 2, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e48665e88190ab8a4a30b1df8ebe completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:38 p.m.