Triple

T23101261
Position Surface form Disambiguated ID Type / Status
Subject The Castle E576036 entity
Predicate title P38 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: [The Castle, title, The Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Castle
Context triple: [The Castle, title, The Castle]
  • A. The Castle chosen
    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.
  • 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 the nickname for Knights Stadium, a baseball park that served as the longtime home of the Charlotte Knights minor league team.
  • E. The Castle
    "The Castle" is a whimsical children's poem by Shel Silverstein from his poetry collection "Falling Up," featuring his characteristic blend of imagination, humor, and simple yet evocative language.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de8c5b4819095cddf989cade60d completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.