Triple

T17645690
Position Surface form Disambiguated ID Type / Status
Subject Lady de Winter E429351 entity
Predicate spouse P13 FINISHED
Object Lord de Winter 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: Lord de Winter | Statement: [Lady de Winter, spouse, Lord de Winter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord de Winter
Context triple: [Lady de Winter, spouse, Lord de Winter]
  • A. Lord de Winter chosen
    Lord de Winter is a fictional English nobleman from Alexandre Dumas' "The Three Musketeers" universe, known primarily as the estranged husband of the enigmatic spy Milady de Winter.
  • B. Maxim de Winter
    Maxim de Winter is the brooding, aristocratic widower and master of the Manderley estate in Daphne du Maurier’s novel "Rebecca."
  • C. Lady de Winter
    Lady de Winter is a cunning and dangerous spy and assassin serving Cardinal Richelieu in Alexandre Dumas’ novel "The Three Musketeers."
  • D. Baron Carrington
    Baron Carrington is a hereditary title in the Peerage of Great Britain historically associated with prominent political and diplomatic service.
  • E. Nathaniel Rochester
    Nathaniel Rochester was an American Revolutionary War officer, land speculator, and founder of the city of Rochester in New York.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e382ba88190af19d0e3b8c8cadd completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:04 a.m.