Triple

T13370785
Position Surface form Disambiguated ID Type / Status
Subject Prince Rupert, first Governor of the Hudson's Bay Company E319052 entity
Predicate givenName P17 FINISHED
Object Rupert E74177 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: Rupert | Statement: [Prince Rupert, first Governor of the Hudson's Bay Company, givenName, Rupert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert
Context triple: [Prince Rupert, first Governor of the Hudson's Bay Company, givenName, Rupert]
  • A. Rupert chosen
    Rupert is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by various notable figures.
  • B. Rupert
    Rupert is a small town located in Greenbrier County in the state of West Virginia, United States.
  • C. Rupert
    Rupert is a small agricultural city in south-central Idaho known for its historic town square and role as a local farming hub.
  • D. Rupert Griffin
    Rupert Griffin is known primarily as the brother of American actress and 1950s film star Debra Paget.
  • E. Rupert Macabee
    Rupert Macabee is a character in the 1957 Charlie Chaplin film "A King in New York," appearing in its satirical portrayal of politics and media in postwar America.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd8950481909785a2060f43b6ed completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72682c7f08190b8553ca22734df27 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.