Triple

T15907623
Position Surface form Disambiguated ID Type / Status
Subject Mark Greene E385760 entity
Predicate notableRelationship P1481 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: [Mark Greene, notableRelationship, Peter Benton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Benton
Context triple: [Mark Greene, notableRelationship, 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf11fd1481909f460cfa4485d3e3 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:52 a.m.