Triple

T11575805
Position Surface form Disambiguated ID Type / Status
Subject Friz Freleng E274500 entity
Predicate significantlyDevelopedCharacter P9708 FINISHED
Object Tweety Bird 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 Bird | Statement: [Friz Freleng, significantlyDevelopedCharacter, Tweety Bird]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tweety Bird
Context triple: [Friz Freleng, significantlyDevelopedCharacter, Tweety Bird]
  • 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. 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.
  • E. Hooter the Owl
    Hooter the Owl is the costumed owl mascot that represents Temple University at its athletic events and campus activities.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89049721081909278adfada668ef9 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018d260488190a8c716787247797f completed April 28, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.