Triple

T20653968
Position Surface form Disambiguated ID Type / Status
Subject Afraid of Ghosts E507573 entity
Predicate featuresArtist P1952 FINISHED
Object Johnny Depp NE NERFINISHED

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: Johnny Depp | Statement: [Afraid of Ghosts, featuresArtist, Johnny Depp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Depp
Context triple: [Afraid of Ghosts, featuresArtist, Johnny Depp]
  • A. Johnny Depp chosen
    Johnny Depp is an American actor known for his eclectic, often eccentric roles in films such as the "Pirates of the Caribbean" series, "Edward Scissorhands," and numerous collaborations with director Tim Burton.
  • B. Jack Depp
    Jack Depp is the son of actor Johnny Depp and singer Vanessa Paradis, known primarily for his low-profile life compared to his famous family.
  • C. Nicolas Cage
    Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
  • D. Brendan Fraser
    Brendan Fraser is a Canadian-American actor best known for his roles in films like "The Mummy" series, "George of the Jungle," and his Oscar-winning performance in "The Whale."
  • E. Val Kilmer
    Val Kilmer is an American actor known for his versatile performances in films such as "Top Gun," "The Doors," and "Batman Forever."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eb8c7081908e7dd7f7fa375190 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.