Triple

T15382889
Position Surface form Disambiguated ID Type / Status
Subject Princess Zelda E367845 entity
Predicate enemyOf P437 FINISHED
Object Ganondorf E491830 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: Ganondorf | Statement: [Princess Zelda, enemyOf, Ganondorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganondorf
Context triple: [Princess Zelda, enemyOf, Ganondorf]
  • A. Ganon chosen
    Ganon is the primary villain of Nintendo’s The Legend of Zelda series, typically depicted as a powerful warlord or demonic beast seeking the Triforce to conquer Hyrule.
  • B. King K. Rool
    King K. Rool is the main villainous crocodile king of the Kremlings in the Donkey Kong video game series, known for his over-the-top costumes and comically menacing personality.
  • C. Bullet Bill
    Bullet Bill is a fast-flying, bullet-shaped enemy projectile from the Super Mario video game series, often launched from cannons to attack the player.
  • D. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • E. Baron Peach
    Baron Peach is the life peerage title held by Stuart Peach, a senior British Royal Air Force officer and former Chief of the Defence Staff.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7397188190bde42b897ab4b5b4 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1349bad48190a31c50a0c5104128 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.