Triple

T15059911
Position Surface form Disambiguated ID Type / Status
Subject Revolution E379596 entity
Predicate portrayedBy P1507 FINISHED
Object David Lyons E548399 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: David Lyons | Statement: [Revolution, portrayedBy, David Lyons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Lyons
Context triple: [Revolution, portrayedBy, David Lyons]
  • A. David Lyons chosen
    David Lyons is an Australian actor known for his roles in television series such as "Seven Seconds," "Revolution," and "ER."
  • B. Daniel Lyons
    Daniel Lyons is a fictional character from the British television drama series "Years and Years," portrayed by actor Russell Tovey.
  • C. Michael Lyons
    Michael Lyons is a British public servant and former chairman of the BBC Trust, known for his leadership roles in local government and public sector organizations.
  • D. Stephen Lyons
    Stephen Lyons is a person known primarily as a family member of Daniel Lyons.
  • E. Stephen Lyons
    Stephen Lyons is a central character in the British drama series "Years and Years," which follows a Manchester family navigating rapid social and political changes over several decades.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed31debb48190908d59178e67adb6 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:01 a.m.