Triple

T20445906
Position Surface form Disambiguated ID Type / Status
Subject Ferlin Husky E501517 entity
Predicate givenName P17 FINISHED
Object Ferlin NE NERFINISHED

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: Ferlin | Statement: [Ferlin Husky, givenName, Ferlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferlin
Context triple: [Ferlin Husky, givenName, Ferlin]
  • A. Ferlin Husky chosen
    Ferlin Husky was an American country music singer and songwriter known for hits like "Wings of a Dove" and "Gone," and for helping popularize the Nashville sound in the 1950s and 1960s.
  • B. Ferris Fain
    Ferris Fain was an American Major League Baseball first baseman and two-time American League batting champion known for his exceptional on-base skills in the late 1940s and early 1950s.
  • C. Frewer
    Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
  • D. Lonnie
    Lonnie is the given first name of American country music singer and songwriter Mel Tillis.
  • E. Lonnie
    Lonnie is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Alonzo or Lonald.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfd84c08190a3f971f1cd279715 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.