Triple

T6955912
Position Surface form Disambiguated ID Type / Status
Subject Carol Peletier E161242 entity
Predicate createdBy P806 FINISHED
Object Tony Moore E630948 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: Tony Moore | Statement: [Carol Peletier, createdBy, Tony Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Moore
Context triple: [Carol Peletier, createdBy, 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. 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."
  • C. 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.
  • D. 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.
  • E. Roy Roberts
    Roy Roberts was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often portraying authority figures such as businessmen, military officers, and lawmen.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacf8c8c8190a25dbacebeb4b66e completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7618afb0c8190b1545328c1cee5de completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:29 p.m.