Triple

T11982863
Position Surface form Disambiguated ID Type / Status
Subject Disney Channel Circle of Stars E285202 entity
Predicate notableMember P10 FINISHED
Object AJ Michalka E388269 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: AJ Michalka | Statement: [Disney Channel Circle of Stars, notableMember, AJ Michalka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AJ Michalka
Context triple: [Disney Channel Circle of Stars, notableMember, AJ Michalka]
  • A. AJ Michalka chosen
    AJ Michalka is an American actress and singer known for her roles in film and television and as one half of the musical duo Aly & AJ.
  • B. Rachel Van Dyken
    Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
  • C. Jennie Snyder Urman
    Jennie Snyder Urman is an American television writer and producer best known as the creator and showrunner of the critically acclaimed series "Jane the Virgin."
  • D. Cat Deeley
    Cat Deeley is an English television presenter, actress, and former model best known for hosting shows such as "So You Think You Can Dance."
  • E. Teala Loring
    Teala Loring was an American film actress of the 1940s, known for her supporting roles in Hollywood features and as one of several sisters who also worked in the entertainment industry.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4721913108190bd767c671f6484de completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.