Triple

T15035934
Position Surface form Disambiguated ID Type / Status
Subject Nyssa E378476 entity
Predicate portrayedBy P1507 FINISHED
Object Sarah Sutton E444489 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: Sarah Sutton | Statement: [Nyssa, portrayedBy, Sarah Sutton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Sutton
Context triple: [Nyssa, portrayedBy, Sarah Sutton]
  • A. Sarah Sutton chosen
    Sarah Sutton is a British actress best known for playing the Fifth Doctor’s companion Nyssa in the long-running science fiction television series Doctor Who.
  • B. Sarah Barlow
    Sarah Barlow is a photographer and graphic designer known for creating album cover art, including the artwork for Sara Bareilles' album "The Blessed Unrest."
  • C. Sarah Sutherland
    Sarah Sutherland is an American actress best known for her role as Catherine Meyer on the HBO political satire series "Veep."
  • D. Sarah Troughton
    Sarah Troughton is a British public figure and member of the extended royal family who serves as the ceremonial representative of the Crown in Wiltshire.
  • E. Sarah Stoddart
    Sarah Stoddart was the wife of English essayist William Hazlitt and a figure connected to the early 19th-century British literary circle.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b272ea6c8190b22fd78081446701 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 2:59 a.m.