Triple

T19876648
Position Surface form Disambiguated ID Type / Status
Subject Jake Eberts E477655 entity
Predicate notableWork P4 FINISHED
Object Grey Owl 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: Grey Owl | Statement: [Jake Eberts, notableWork, Grey Owl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grey Owl
Context triple: [Jake Eberts, notableWork, Grey Owl]
  • A. Grey Owl chosen
    Grey Owl is a 1999 biographical drama film directed by Richard Attenborough and starring Pierce Brosnan as the famed British-born Canadian conservationist and writer.
  • B. Farley Mowat
    Farley Mowat was a Canadian writer and environmentalist best known for his popular works of nature writing and advocacy for wildlife conservation, including the classic "Never Cry Wolf."
  • C. Ernest Thompson Seton
    Ernest Thompson Seton was a British-born American naturalist, wildlife artist, and author whose woodcraft and youth-education ideas helped shape the early Boy Scouts movement in North America.
  • D. A. Wallis Mills
    A. Wallis Mills was an illustrator known for his artwork in late 19th- and early 20th-century publications, including classic fairy tale collections.
  • E. Tena Wiebe
    Tena Wiebe is known as the wife of Canadian novelist and short story writer Rudy Wiebe.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.