Triple

T2470530
Position Surface form Disambiguated ID Type / Status
Subject Mel Blanc E55361 entity
Predicate performedVoiceOf P13156 FINISHED
Object Sylvester E65231 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: Sylvester | Statement: [Mel Blanc, performedVoiceOf, Sylvester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvester
Context triple: [Mel Blanc, performedVoiceOf, Sylvester]
  • A. Sylvester chosen
    Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
  • B. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • C. Clyde
    Clyde is a masculine given name of Scottish origin, historically associated with the River Clyde in Scotland and used widely in English-speaking countries.
  • D. Clyde
    Clyde is the thistle-inspired cartoon character that served as the official mascot of the 2014 Commonwealth Games in Glasgow, Scotland.
  • E. Wilbert
    Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd82f2020819086bbd321a750ce43 completed March 7, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a29c2c8190b9e7b49d086ad9d5 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.