Triple

T6597915
Position Surface form Disambiguated ID Type / Status
Subject Skip Caray E148521 entity
Predicate givenName P17 FINISHED
Object Harry E146093 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: Harry | Statement: [Skip Caray, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry
Context triple: [Skip Caray, givenName, Harry]
  • A. Harry
    Harry is the given name of Harry S. Truman, the 33rd president of the United States who led the country through the end of World War II and the beginning of the Cold War.
  • B. Harry
    Harry is the given first name of the famed American singer and actor Bing Crosby.
  • C. Harry
    Harry is the given name of Harry Augustus Garfield, an American lawyer, academic, and public official who served as the first head of the U.S. Fuel Administration during World War I.
  • D. Harry chosen
    Harry is the given name of the famed American baseball broadcaster Harry Caray, known for his exuberant announcing style and long association with the Chicago Cubs.
  • E. Harry
    Harry is the given name of Harry Nyquist, a pioneering engineer and physicist known for foundational contributions to information theory and telecommunications.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeee738081908913f4f8c6699bd9 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbc3ee188190a285110707a895b6 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:56 p.m.