Triple

T6561457
Position Surface form Disambiguated ID Type / Status
Subject Lounsbury correlation E153791 entity
Predicate namedAfter P63 FINISHED
Object Floyd Lounsbury E799032 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: Floyd Lounsbury | Statement: [Lounsbury correlation, namedAfter, Floyd Lounsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Floyd Lounsbury
Context triple: [Lounsbury correlation, namedAfter, Floyd Lounsbury]
  • A. Floyd Lounsbury chosen
    Floyd Lounsbury was an American linguist and anthropologist renowned for his pioneering contributions to the decipherment and understanding of Maya hieroglyphic writing.
  • B. Fred Luddy
    Fred Luddy is an American entrepreneur and software executive best known as the founder of the cloud-based enterprise software company ServiceNow.
  • C. Floyd Huddleston
    Floyd Huddleston was an American songwriter and lyricist best known for his work on Disney films such as "The Aristocats" and "The Jungle Book."
  • D. John Gilleland
    John Gilleland was a 19th-century American inventor best known for creating the experimental Civil War-era Double-Barreled Cannon in Athens, Georgia.
  • E. Frank E. Bunts
    Frank E. Bunts was an American physician and surgeon best known as one of the founding doctors of the Cleveland Clinic, a major academic medical center.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189c795d48190ba80739d07bc899c completed April 4, 2026, 9:59 p.m.
Created at: March 27, 2026, 1:52 p.m.