Triple

T19107865
Position Surface form Disambiguated ID Type / Status
Subject Shane Walsh E467704 entity
Predicate creator P184 FINISHED
Object Tony Moore 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: Tony Moore | Statement: [Shane Walsh, creator, Tony Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Moore
Context triple: [Shane Walsh, creator, Tony Moore]
  • A. Tony Moore chosen
    Tony Moore is an American comic book artist best known as the original co-creator and illustrator of the hit series "The Walking Dead."
  • B. Eric Moore
    Eric Moore is an Australian musician and music industry figure best known as a former drummer and manager of the psychedelic rock band King Gizzard & the Lizard Wizard.
  • C. Rich Moore
    Rich Moore is an American animation director and filmmaker best known for his work on acclaimed Disney films such as "Zootopia" and "Wreck-It Ralph."
  • D. Ken Morrow
    Ken Morrow is an American former defenseman best known for winning gold with the "Miracle on Ice" 1980 U.S. Olympic hockey team and then capturing four consecutive Stanley Cups with the New York Islanders.
  • E. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e391f00c8190881a5977dd3728ed completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.