Triple

T25951718
Position Surface form Disambiguated ID Type / Status
Subject Paradise Circus E653980 entity
Predicate associatedWithTelevisionCharacter P88683 FINISHED
Object John Luther 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: John Luther | Statement: [Paradise Circus, associatedWithTelevisionCharacter, John Luther]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithTelevisionCharacter
Context triple: [Paradise Circus, associatedWithTelevisionCharacter, John Luther]
  • A. worksWithFictionalCharacter
    Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
  • B. fictionalCharacterAssociatedWith chosen
    Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
  • C. associatedWithCharacterRole
    Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
  • D. characterPortrayedIs
    Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
  • E. alsoPortrayedBy
    Indicates that the same role or character is portrayed by an additional, different performer or actor.
  • F. None of above.

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_69e7ab40ac788190a771bc499eb1ae5f completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69fe349879848190bcd77e3cc3470458 completed May 8, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69fe31e3cf908190b23ebc2f7fe58722 completed May 8, 2026, 6:56 p.m.
Created at: April 22, 2026, 8:44 a.m.