Triple

T20674582
Position Surface form Disambiguated ID Type / Status
Subject Joi E508125 entity
Predicate associatedWithCharacter P1481 FINISHED
Object K 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: K | Statement: [Joi, associatedWithCharacter, K]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K
Context triple: [Joi, associatedWithCharacter, K]
  • A. K
    K is the line designation used for Los Angeles Metro's K Line light rail service.
  • B. K chosen
    K is the replicant blade runner protagonist of the science fiction film "Blade Runner 2049," whose investigation into a long-buried secret drives the movie’s central mystery and themes of identity.
  • C. K
    K is the route designation for San Francisco’s Muni Metro K Ingleside light rail line.
  • D. K
    K is the New York Stock Exchange ticker symbol for Kellogg Company, a major American multinational food manufacturing corporation best known for its breakfast cereals and snack products.
  • E. K
    K is the vehicle registration code used for the Austrian city of Klagenfurt.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cdbec48190a945261c41d810ce completed April 20, 2026, 11:25 p.m.
Created at: April 16, 2026, 11:44 a.m.