Triple

T11996191
Position Surface form Disambiguated ID Type / Status
Subject Ben Seaver E285535 entity
Predicate portrayedBy P1507 FINISHED
Object Jeremy Miller E287849 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: Jeremy Miller | Statement: [Ben Seaver, portrayedBy, Jeremy Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Miller
Context triple: [Ben Seaver, portrayedBy, Jeremy Miller]
  • A. Jeremy Miller chosen
    Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
  • B. Logan Miller
    Logan Miller is an American actor known for his roles in films such as "Before I Fall" and various television series.
  • C. Cody Miller
    Cody Miller is an American competitive swimmer and Olympic medalist specializing in breaststroke events.
  • D. Jacob Miller
    Jacob Miller was a prominent Jamaican reggae singer and frontman of the band Inner Circle, known for his powerful voice and charismatic stage presence.
  • E. Joshua John Miller
    Joshua John Miller is an American actor, screenwriter, and director known for roles in 1980s horror and cult films and for co-writing the acclaimed horror film "The Final Girls."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f640b9a481908de1b7858e3db52c completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:46 p.m.