Triple

T3878635
Position Surface form Disambiguated ID Type / Status
Subject Don Meredith E92566 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: [Don Meredith, givenName, Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph
Context triple: [Don Meredith, 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 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.
  • C. Joseph
    Joseph is the given name of the British physicist J. J. Thomson, who is renowned for discovering the electron and advancing atomic theory.
  • D. 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.
  • E. Joseph
    Joseph is the middle name of John J. Pershing, the prominent American general who led the American Expeditionary Forces in World War I.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512259d048190be25add7e38a0326 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:20 p.m.