Triple

T16108126
Position Surface form Disambiguated ID Type / Status
Subject Eriq La Salle E390795 entity
Predicate portrayed P1668 FINISHED
Object Peter Benton E390797 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: Peter Benton | Statement: [Eriq La Salle, portrayed, Peter Benton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Benton
Context triple: [Eriq La Salle, portrayed, Peter Benton]
  • A. Peter Benton chosen
    Peter Benton is a driven and often intense trauma surgeon from the television series "ER," known for his surgical skill and complex personal relationships with colleagues.
  • B. John Benton
    John Benton is a fictional UNIT sergeant and recurring supporting character from the classic British science fiction television series "Doctor Who."
  • C. Jerome Benton
    Jerome Benton is an American musician, actor, and comedian best known for his work with Prince and as a member of the funk band The Time.
  • D. Karl Burns
    Karl Burns was an English drummer best known for his multiple stints with the influential post-punk band The Fall, where his inventive and sometimes volatile presence became part of the group’s legend.
  • E. Sam Burrows
    Sam Burrows is best known as the husband of English singer-songwriter and podcaster Jessie Ware.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20165aa9c81908c5358cca2b0d0fe completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeef277481908ab35bbff06c827a completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5 a.m.