Triple

T18633234
Position Surface form Disambiguated ID Type / Status
Subject K. E455473 entity
Predicate appearsIn P795 FINISHED
Object The Castle 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: The Castle | Statement: [K., appearsIn, The Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Castle
Context triple: [K., appearsIn, The Castle]
  • A. The Castle
    The Castle is a historic government building in Jamestown that serves as a key administrative and architectural landmark of the area.
  • B. The Castle
    The Castle is the iconic red sandstone building on the National Mall in Washington, D.C., that serves as the historic headquarters and visitor center of the Smithsonian Institution.
  • C. The Castle
    The Castle is a historic fortification in Mumbai, India, that served as the original fortified settlement of the British East India Company in the city.
  • D. The Castle
    The Castle is a surreal, unfinished novel by Franz Kafka that follows a land surveyor’s futile attempts to gain access to a mysterious, bureaucratic authority that governs a remote village.
  • E. The Castle
    The Castle is a celebrated Australian comedy film about a working-class family's fight to save their beloved home from compulsory acquisition, known for its quotable dialogue and cultural impact.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc5c7ec8190ab0c64f009583f96 completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.