Triple

T11387553
Position Surface form Disambiguated ID Type / Status
Subject Bob Bergen E269748 entity
Predicate characterVoiced P13156 FINISHED
Object Tweety E56471 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: Tweety | Statement: [Bob Bergen, characterVoiced, Tweety]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tweety
Context triple: [Bob Bergen, characterVoiced, Tweety]
  • A. Tweety chosen
    Tweety is a small, yellow canary from the Looney Tunes cartoons, best known for outsmarting Sylvester the Cat with a deceptively cute demeanor.
  • B. Foghorn Leghorn
    Foghorn Leghorn is a loud, fast-talking, Southern-accented cartoon rooster from the Looney Tunes series known for his comedic antics and catchphrases.
  • C. Feathers McGraw
    Feathers McGraw is a silent, villainous penguin and master of disguise from the Wallace & Gromit animated franchise.
  • D. Daffy
    Daffy is the colloquial nickname given to the British World War II Boulton Paul Defiant turret fighter aircraft.
  • E. Shirley the Loon
    Shirley the Loon is a spiritually inclined, valley-girl-style loon character from the animated series Tiny Toon Adventures, known for her psychic powers and quirky New Age 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc389d4c81909515a5c8b0099c36 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7580c508190a81eadd9015c75ef completed April 21, 2026, 2:56 a.m.
Created at: April 8, 2026, 9:34 p.m.