Triple

T14765396
Position Surface form Disambiguated ID Type / Status
Subject Albert Wesker E346978 entity
Predicate notableAlias P39 FINISHED
Object Wesker E346978 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: Wesker | Statement: [Albert Wesker, notableAlias, Wesker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wesker
Context triple: [Albert Wesker, notableAlias, Wesker]
  • A. Albert Wesker chosen
    Albert Wesker is a primary antagonist in the Resident Evil video game franchise, known as a ruthless, superhumanly enhanced former Umbrella Corporation operative.
  • B. Raiden
    Raiden is a central Mortal Kombat character, the thunder god and protector of Earthrealm known for his lightning powers and iconic hat.
  • C. Raiden
    Raiden is a cybernetically enhanced swordsman and key protagonist in the Metal Gear series, known for his acrobatic combat style and complex personal transformation.
  • D. Raiden
    Raiden is a masked professional wrestler and powerful grappler character from the Fatal Fury and The King of Fighters fighting game series.
  • E. Terry Silver
    Terry Silver is a manipulative and wealthy villain in The Karate Kid franchise, known for orchestrating schemes against Daniel LaRusso and supporting the Cobra Kai dojo.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388aeb9c819099a987a819959479 completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:30 a.m.