Triple

T10211477
Position Surface form Disambiguated ID Type / Status
Subject Rogue Lawyer E242337 entity
Predicate hasCharacter P2308 FINISHED
Object Sebastian Rudd E850162 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: Sebastian Rudd | Statement: [Rogue Lawyer, hasCharacter, Sebastian Rudd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Rudd
Context triple: [Rogue Lawyer, hasCharacter, Sebastian Rudd]
  • A. Sebastian Rudd chosen
    Sebastian Rudd is a maverick defense attorney from John Grisham’s legal thriller "Rogue Lawyer," known for representing unpopular clients from a customized bulletproof van.
  • B. Sebastian Thomson
    Sebastian Thomson is a drummer best known for his work with the experimental rock band Trans Am and later as a member of Baroness.
  • C. Sebastian Burgett
    Sebastian Burgett was an early settler and prominent local figure after whom the town of Burgettstown, Pennsylvania, was named.
  • D. Aidan Murdoch
    Aidan Murdoch is a member of the Murdoch family, known primarily as a child of media executive Lachlan Murdoch.
  • E. Sebastian Clement
    Sebastian Clement is a fictional character from Willa Cather’s novel "Lucy Gayheart," serving as a central figure in the protagonist’s emotional and artistic life.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa22071c819095febd18dd607978 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7f6730081908b941eaeb6c00993 completed April 8, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:01 a.m.