Triple

T10197599
Position Surface form Disambiguated ID Type / Status
Subject James Michael Tyler E238802 entity
Predicate characterPortrayed P1507 FINISHED
Object Gunther E172627 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: Gunther | Statement: [James Michael Tyler, characterPortrayed, Gunther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunther
Context triple: [James Michael Tyler, characterPortrayed, Gunther]
  • A. Gunther
    Gunther is an Austrian professional wrestler known for his hard-hitting style and dominant championship reigns in WWE.
  • B. Burkhard
    Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Günther chosen
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Gunther Stent
    Gunther Stent was a German-born American molecular biologist and philosopher of science known for his pioneering work in bacteriophage genetics and his reflections on the social and ethical implications of scientific research.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3c44408190b09fa41f2d257c04 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317e4a3308190b6ec4252bc55985d completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:13 p.m.