Triple

T17909749
Position Surface form Disambiguated ID Type / Status
Subject The Naive Man from Lolliland E447789 entity
Predicate creator P184 FINISHED
Object J. G. Quintel — 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: J. G. Quintel | Statement: [The Naive Man from Lolliland, creator, J. G. Quintel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: J. G. Quintel
Context triple: [The Naive Man from Lolliland, creator, J. G. Quintel]
  • A. J. G. Quintel chosen
    J. G. Quintel is an American animator, writer, and voice actor best known for creating the Cartoon Network series "Regular Show."
  • B. J. C. Hawthorne
    J. C. Hawthorne was a prominent Oregon physician and mental health pioneer after whom Portland’s Hawthorne Bridge is named.
  • C. R. G. Tifft
    R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
  • D. J. E. Calder
    J. E. Calder was a 19th-century Tasmanian surveyor and writer known for documenting and collecting information on Tasmanian Aboriginal languages and culture.
  • E. George Leonard
    George Leonard was an American writer, editor, and educator known as a leading figure in the human potential movement and a key contributor to the development of transformative learning practices.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9f4f888190840c8b55672becf8 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.