Triple

T14133905
Position Surface form Disambiguated ID Type / Status
Subject Richard Goodwin E350239 entity
Predicate notableWork P4 FINISHED
Object The White Countess E501035 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: The White Countess | Statement: [Richard Goodwin, notableWork, The White Countess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The White Countess
Context triple: [Richard Goodwin, notableWork, The White Countess]
  • A. The White Countess chosen
    The White Countess is a 2005 historical drama film set in 1930s Shanghai, directed by James Ivory and scored by composer Richard Robbins.
  • B. Her Countessship
    Her Countessship is the formal style of address used for Countess Emma Luana of Orange-Nassau, a member of the Dutch royal family.
  • C. The Countess
    The Countess is a glamorous, immortal vampire-like socialite and the central, ruthlessly seductive antagonist of American Horror Story: Hotel, portrayed by Lady Gaga.
  • D. The Duchess of Alba
    The Duchess of Alba is a famous full-length portrait by Spanish master Francisco Goya, depicting the aristocrat María Cayetana de Silva in a dramatic black dress and pointing gesture.
  • E. The Maid of Honour
    The Maid of Honour is a Jacobean tragicomedy by Philip Massinger, notable for its blend of courtly romance, political intrigue, and moral conflict.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1288b48190a382732fac13aaf7 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 11:40 p.m.