Triple

T13175057
Position Surface form Disambiguated ID Type / Status
Subject Richard Castle E313077 entity
Predicate appearsIn P795 FINISHED
Object Castle E178779 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: Castle | Statement: [Richard Castle, appearsIn, Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle
Context triple: [Richard Castle, appearsIn, Castle]
  • A. Castle chosen
    Castle is an American crime-comedy-drama television series that follows mystery novelist Richard Castle as he assists the NYPD in solving unusual homicide cases.
  • B. Castle
    Castle is a UK pub brand operated by Mitchells & Butlers, typically associated with stylish, contemporary pubs in urban locations.
  • C. Old Castle
    Old Castle is a historic medieval fortress and prominent cultural monument located in the Slovak mining town of Banská Štiavnica.
  • D. Castell
    Castell is a small historic market town in northern Bavaria, Germany, known for its winegrowing tradition and association with the noble House of Castell.
  • E. Haunted Castle
    Haunted Castle is a dark ride attraction at the Santa Cruz Beach Boardwalk that takes visitors through a series of spooky, haunted-themed scenes and effects.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c303e3c819086cf0f0b6d9e61ca completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5e5eacc8190ae39dcdb12c9b563 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:14 p.m.