Triple

T2676438
Position Surface form Disambiguated ID Type / Status
Subject Tweety E56471 entity
Predicate notableEnemy P11706 FINISHED
Object Sylvester the Cat E275032 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 the Cat | Statement: [Tweety, notableEnemy, Sylvester the Cat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvester the Cat
Context triple: [Tweety, notableEnemy, Sylvester the Cat]
  • A. Sylvester the Cat chosen
    Sylvester the Cat is a classic Looney Tunes cartoon character, a black-and-white tuxedo cat best known for his persistent but usually unsuccessful attempts to catch Tweety Bird and other prey.
  • B. Mr. Goodkat
    Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
  • C. Aristocat the Tiger
    Aristocat the Tiger is the costumed tiger mascot that represents Tennessee State University at its athletic events and campus activities.
  • D. Pepé Le Pew
    Pepé Le Pew is a romantic, overly confident skunk from the Looney Tunes cartoons, best known for his comedic, French-accented pursuit of love.
  • E. Top Cat
    Top Cat is a classic animated television series created by Hanna-Barbera that follows the comedic misadventures of a streetwise alley cat and his gang in New York City.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b4a70481909d8b8242039c1cf2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0638a9c8190b48ca5aa56eb66ff completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:54 p.m.