Triple

T13675790
Position Surface form Disambiguated ID Type / Status
Subject Arcadia E327872 entity
Predicate hasCharacter P2308 FINISHED
Object Captain Brice E873521 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: Captain Brice | Statement: [Arcadia, hasCharacter, Captain Brice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Captain Brice
Context triple: [Arcadia, hasCharacter, Captain Brice]
  • A. Captain Brice chosen
    Captain Brice is a minor character in Tom Stoppard’s play "Arcadia," serving as a military officer connected to the aristocratic household around which the drama’s events unfold.
  • B. Captain Riga
    Captain Riga is a fictional sea captain who appears as a character in Herman Melville’s novel "Redburn: His First Voyage."
  • C. Captain Jenness
    Captain Jenness is a fictional sea captain who appears as a central character in William Dean Howells's novel "The Lady of the Aroostook."
  • D. Captain Crewe
    Captain Crewe is the loving and wealthy father of Sara Crewe whose presumed death and financial ruin trigger her hardships in the 1995 film "A Little Princess."
  • E. Captain Brazen
    Captain Brazen is a boastful, comically swaggering army officer in George Farquhar’s Restoration comedy "The Recruiting Officer."
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65c04988190b675e6fb7241e53c completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943dbf748190b41abfe9d81d1427 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.