Triple

T3294017
Position Surface form Disambiguated ID Type / Status
Subject Gus E69166 entity
Predicate enemyOf P437 FINISHED
Object Lucifer (Disney cat) E285200 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: Lucifer (Disney cat) | Statement: [Gus, enemyOf, Lucifer (Disney cat)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucifer (Disney cat)
Context triple: [Gus, enemyOf, Lucifer (Disney cat)]
  • A. Lucifer (cat) chosen
    Lucifer is the sly, spoiled house cat who serves as Lady Tremaine’s antagonistic pet in Disney’s animated film "Cinderella."
  • B. Aristocat the Tiger
    Aristocat the Tiger is the costumed tiger mascot that represents Tennessee State University at its athletic events and campus activities.
  • C. Mr. Goodkat
    Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
  • D. The Rum Tum Tugger
    The Rum Tum Tugger is a flamboyant, attention-seeking cat character from T. S. Eliot’s poetry, later popularized in Andrew Lloyd Webber’s musical "Cats."
  • E. Sylvester the Cat
    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.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86b8e04819091f4a4ae6d6a87ad completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.