Triple

T20164397
Position Surface form Disambiguated ID Type / Status
Subject Hey Arnold! E491791 entity
Predicate creator P184 FINISHED
Object Craig Bartlett 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: Craig Bartlett | Statement: [Hey Arnold!, creator, Craig Bartlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Bartlett
Context triple: [Hey Arnold!, creator, Craig Bartlett]
  • A. Craig Bartlett chosen
    Craig Bartlett is an American animator, writer, and producer best known as the creator of the Nickelodeon animated series "Hey Arnold!" and other children’s television shows.
  • B. Clay Kaytis
    Clay Kaytis is an American film director and animator known for his work at Walt Disney Animation Studios and for co-directing the feature film adaptation of Angry Birds.
  • C. Joel Tobeck
    Joel Tobeck is a New Zealand actor known for his versatile character roles in film and television, including appearances in genre series like "Xena: Warrior Princess" and "Ash vs Evil Dead."
  • D. Jason Gedrick
    Jason Gedrick is an American actor best known for his breakout role in 1980s action films and later work in television dramas such as "Murder One" and "Boomtown."
  • E. Alex O'Flinn
    Alex O'Flinn is a film editor best known for his work on acclaimed independent films, including the drama "The Florida Project."
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6684376408190a68890ab48fa5424 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.