Triple

T20586013
Position Surface form Disambiguated ID Type / Status
Subject Henry Corden E505788 entity
Predicate workedOn P3 FINISHED
Object The Black 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 Black Castle | Statement: [Henry Corden, workedOn, The Black Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Black Castle
Context triple: [Henry Corden, workedOn, The Black Castle]
  • A. The Black Castle chosen
    The Black Castle is a 1952 Gothic mystery-horror film set in a sinister Austrian castle, known for its atmospheric suspense and starring actors such as Hurd Hatfield and Boris Karloff.
  • B. 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.
  • C. The Castle
    The Castle is a historic government building in Jamestown that serves as a key administrative and architectural landmark of the area.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a976bca4819086a4949e299159b5 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.