Triple

T2946988
Position Surface form Disambiguated ID Type / Status
Subject Nathan Fillion E79526 entity
Predicate notableWork P4 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: [Nathan Fillion, notableWork, Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle
Context triple: [Nathan Fillion, notableWork, 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 Rising
    Castle Rising is a historic village and former parliamentary borough in Norfolk, England, known for its medieval castle and past representation in the UK Parliament.
  • C. Red Castle
    Red Castle is a ruined medieval fortress overlooking Lunan Bay on the east coast of Scotland.
  • D. Deal Castle
    Deal Castle is a 16th-century coastal artillery fortress in Kent, England, built by Henry VIII as part of his chain of defenses against invasion.
  • E. Drakensteyn Castle
    Drakensteyn Castle is a 17th-century moated country house in the Netherlands best known as the private residence of former Queen Beatrix.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08695bea08190abce552493abda57 completed March 10, 2026, 9:01 p.m.
Created at: March 8, 2026, 2:56 p.m.