Triple

T12120194
Position Surface form Disambiguated ID Type / Status
Subject Walky Talky Hawky E288672 entity
Predicate layoutArtist P47556 FINISHED
Object Cornett Wood E923102 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: Cornett Wood | Statement: [Walky Talky Hawky, layoutArtist, Cornett Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornett Wood
Context triple: [Walky Talky Hawky, layoutArtist, Cornett Wood]
  • A. Cornett Wood chosen
    Cornett Wood was an American animation layout artist known for his work on classic Warner Bros. cartoons, including early Bugs Bunny shorts.
  • B. Stearns Woods
    Stearns Woods is a local natural park and wooded recreation area located in Wyoming, Ohio.
  • C. Crothers Woods
    Crothers Woods is a notable natural area in Toronto known for its extensive network of hiking and mountain biking trails through mature forests and ravines.
  • D. Cedar Forest
    Cedar Forest is the legendary, divinely protected woodland in Mesopotamian mythology where the hero Gilgamesh confronts the guardian monster Humbaba.
  • E. Willona Woods
    Willona Woods is a witty, outspoken neighbor and close friend of the Evans family on the 1970s sitcom "Good Times," known for her humor and strong, independent personality.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91577a03c81909add7a5d7324a648 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f684172c81908b77daa243dc8ed8 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.