Triple

T10855707
Position Surface form Disambiguated ID Type / Status
Subject Kenneth N. Taylor E256264 entity
Predicate name P16 FINISHED
Object Kenneth N. Taylor E256264 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: Kenneth N. Taylor | Statement: [Kenneth N. Taylor, name, Kenneth N. Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth N. Taylor
Context triple: [Kenneth N. Taylor, name, Kenneth N. Taylor]
  • A. Kenneth N. Taylor chosen
    Kenneth N. Taylor was an American publisher and author best known for creating the popular paraphrased Bible edition The Living Bible and for founding Tyndale House Publishers.
  • B. Sidney B. Kramer
    Sidney B. Kramer was an American publisher best known as a co-founder of the mass-market paperback company Bantam Books.
  • C. John C. Wells
    John C. Wells is a prominent British phonetician and phonologist known for his influential work on English accents and pronunciation, including his analyses of BBC English.
  • D. Charles Osgood
    Charles Osgood is an American radio and television commentator best known as the longtime host of CBS News Sunday Morning.
  • E. Allen G. Siegler
    Allen G. Siegler was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood films.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75135df24819090ce43afa3ea9b38 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb18a48248190999f95abc979fa74 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.