Triple

T1968889
Position Surface form Disambiguated ID Type / Status
Subject Joseph Smith E42751 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: [Joseph Smith, givenName, Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph
Context triple: [Joseph Smith, givenName, Joseph]
  • A. Joseph chosen
    Joseph is a common masculine given name of Hebrew origin, traditionally interpreted to mean "He will add" or "God increases."
  • B. Joseph
    Joseph is the given name of Joe Namath, the Hall of Fame American football quarterback famed for his career with the New York Jets.
  • C. 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.
  • D. Joseph
    Joseph is the given name of the British physicist J. J. Thomson, who is renowned for discovering the electron and advancing atomic theory.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d05cb88190963039d643bb6637 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0abb346081908df2c8390e4938d5 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.