Triple

T19446873
Position Surface form Disambiguated ID Type / Status
Subject Kevin Levin E486500 entity
Predicate enemyOf P437 FINISHED
Object Aggregor NE NERFINISHED

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: Aggregor | Statement: [Kevin Levin, enemyOf, Aggregor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aggregor
Context triple: [Kevin Levin, enemyOf, Aggregor]
  • A. Aggregor chosen
    Aggregor is a powerful Osmosian villain in the Ben 10 franchise who absorbs other beings’ abilities to increase his own strength and pursue ultimate power.
  • B. Aggra
    Aggra is an orc shaman from the Mag'har of Nagrand in the Warcraft universe, known for training and later marrying Thrall.
  • C. Agoro
    Agoro is a character featured as a component of the work "Necessary Evil."
  • D. Artelia
    Artelia is a feminine given name, notably borne by Artelia Roney Duke, an American philanthropist and tobacco heiress.
  • E. Agoo
    Agoo is a coastal municipality in the province of La Union, Philippines, known for its fishing communities, beaches, and historical churches along the Lingayen Gulf.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.