Triple

T7561073
Position Surface form Disambiguated ID Type / Status
Subject Taken E178794 entity
Predicate starring P1507 FINISHED
Object Katie Cassidy E607518 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: Katie Cassidy | Statement: [Taken, starring, Katie Cassidy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Cassidy
Context triple: [Taken, starring, Katie Cassidy]
  • A. Katie Cassidy chosen
    Katie Cassidy is an American actress best known for her role as Laurel Lance/Black Canary in the television series "Arrow."
  • B. Emily VanCamp
    Emily VanCamp is a Canadian actress best known for her leading role as Emily Thorne/Amanda Clarke on the television drama series "Revenge" and for playing Sharon Carter in the Marvel Cinematic Universe.
  • C. Kaitlin Olson
    Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
  • D. Alycia Debnam-Carey
    Alycia Debnam-Carey is an Australian actress best known for her prominent roles in television series such as Fear the Walking Dead and The 100.
  • E. Camren Bicondova
    Camren Bicondova is an American actress and dancer best known for portraying a young Selina Kyle (Catwoman) on the television series "Gotham."
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8683978b48190971b4c38fd83d3cc completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:50 p.m.