Triple

T9653306
Position Surface form Disambiguated ID Type / Status
Subject Elena of Avalor E233387 entity
Predicate creator P184 FINISHED
Object Craig Gerber E811985 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: Craig Gerber | Statement: [Elena of Avalor, creator, Craig Gerber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Gerber
Context triple: [Elena of Avalor, creator, Craig Gerber]
  • A. Craig Gerber chosen
    Craig Gerber is an American television producer and writer best known for creating the Disney animated series "Sofia the First" and "Elena of Avalor."
  • B. Brian Urlacher
    Brian Urlacher is a Hall of Fame former NFL linebacker best known for anchoring the Chicago Bears’ defense with his hard-hitting, sideline-to-sideline play.
  • C. Charles Tillman
    Charles Tillman is a former NFL cornerback, primarily for the Chicago Bears, renowned for his forced fumbles, community service, and leadership on and off the field.
  • D. Alan Beckham
    Alan Beckham is an individual whose name is associated with the identifier or label "Beckham."
  • E. Julius Peppers
    Julius Peppers is a former NFL defensive end renowned for his dominant pass-rushing career, primarily with the Carolina Panthers, that made him one of the league’s all-time sack leaders.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb26b748190bc32e2003829b0ec completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a03438c8190a3419cbed7af4cd4 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:13 p.m.