Triple

T2651411
Position Surface form Disambiguated ID Type / Status
Subject Bleak House (2005 TV serial) E53906 entity
Predicate stars P1956 FINISHED
Object Nathaniel Parker E271640 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: Nathaniel Parker | Statement: [Bleak House (2005 TV serial), stars, Nathaniel Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathaniel Parker
Context triple: [Bleak House (2005 TV serial), stars, Nathaniel Parker]
  • A. Nathaniel Parker chosen
    Nathaniel Parker is an English actor known for his work in film, television, and theatre, including roles in adaptations of classic literature and popular detective dramas.
  • B. Samuel Holden
    Samuel Holden was an influential 18th-century British politician and merchant whose prominence and philanthropy led to institutions such as Holden Chapel being named in his honor.
  • C. Alexander Parker
    Alexander Parker was an individual significant enough in local history that the city of Parkersburg, West Virginia, was named in his honor.
  • D. John Parker
    John Parker was an American colonial militia captain best known for leading the Lexington militia at the opening skirmishes of the American Revolutionary War.
  • E. Francis Smith
    Francis Smith was a British Army officer best known for leading the regular troops during the opening engagements of the American Revolutionary War at Lexington and Concord in 1775.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb674ed4c8190a398fccdbd30e9c2 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:53 p.m.