Triple

T2605213
Position Surface form Disambiguated ID Type / Status
Subject Rudyard Kipling E58642 entity
Predicate givenName P17 FINISHED
Object Joseph E77392 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: Joseph | Statement: [Rudyard Kipling, givenName, Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph
Context triple: [Rudyard Kipling, givenName, Joseph]
  • A. Joseph
    Joseph is the given name of the British physicist J. J. Thomson, who is renowned for discovering the electron and advancing atomic theory.
  • B. Joseph
    Joseph is the full given name of American sportscaster Joe Buck, known for his play-by-play announcing of major NFL and MLB games.
  • C. Joseph chosen
    Joseph is a common masculine given name of Hebrew origin, traditionally interpreted to mean "He will add" or "God increases."
  • D. Joseph
    Joseph is the given first name of Joe Torre, the former Major League Baseball player and Hall of Fame manager best known for leading the New York Yankees to multiple World Series titles.
  • E. Joseph
    Joseph was one of the given names of Napoleon II, the short-lived son and nominal heir of Napoleon Bonaparte who was briefly recognized as Emperor of the French.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd864958c8190b3ad6123f1ac78ca completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83cfdd6081908cdeb21243e73dda completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:49 p.m.