Triple

T14708692
Position Surface form Disambiguated ID Type / Status
Subject The Book of Life E345490 entity
Predicate voiceActor P1507 FINISHED
Object Channing Tatum E260476 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: Channing Tatum | Statement: [The Book of Life, voiceActor, Channing Tatum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channing Tatum
Context triple: [The Book of Life, voiceActor, Channing Tatum]
  • A. Channing Tatum chosen
    Channing Tatum is an American actor and producer known for his roles in films such as "Magic Mike," "21 Jump Street," and various action and comedy movies.
  • B. Bob Cummings
    Bob Cummings was an American actor and television star best known for his charming comedic roles in film and early TV sitcoms such as "The Bob Cummings Show."
  • C. Luke Evans
    Luke Evans is a Welsh actor and singer known for his roles in films such as "The Hobbit" trilogy, "Dracula Untold," and various high-profile Hollywood productions.
  • D. Adam Beach
    Adam Beach is a Canadian First Nations actor known for his roles in films such as "Smoke Signals," "Windtalkers," and "Flags of Our Fathers," as well as various television series.
  • E. Joe Manganiello
    Joe Manganiello is an American actor known for roles in projects like "True Blood," "Magic Mike," and various action films.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb609965081908f654bcb9eaaa145 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08a81948190ab903e5b8bfb0c81 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.