Triple

T10201719
Position Surface form Disambiguated ID Type / Status
Subject Almost Human E238897 entity
Predicate mainCharacter P1183 FINISHED
Object John Kennex E238898 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: John Kennex | Statement: [Almost Human, mainCharacter, John Kennex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Kennex
Context triple: [Almost Human, mainCharacter, John Kennex]
  • A. John Kennex chosen
    John Kennex is the main human detective protagonist in the science fiction TV series "Almost Human," set in a near-future world where cops are paired with android partners.
  • B. Christopher Keene
    Christopher Keene was an American conductor best known for his leadership in opera, including his tenure heading major U.S. opera companies and championing contemporary works.
  • C. Ken Kercheval
    Ken Kercheval was an American actor best known for his long-running role as Cliff Barnes on the television series "Dallas."
  • D. George Hackathorne
    George Hackathorne was an American silent film actor active in the 1910s and 1920s, known for his roles in early Hollywood productions.
  • E. Alex Reiger
    Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
  • 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_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317fcdf18819092d0f3f216edffdc completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:14 p.m.