Triple

T20232527
Position Surface form Disambiguated ID Type / Status
Subject Logopolis E495562 entity
Predicate featuresActor P15562 FINISHED
Object Sarah Sutton NE NERFINISHED

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: [Logopolis, featuresActor, Sarah Sutton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Sutton
Context triple: [Logopolis, featuresActor, 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 Hildreth
    Sarah Hildreth was a 19th-century American stage actress who became known as the wife and political partner of U.S. senator and Civil War general Benjamin F. Butler.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67166d4d081908c4b8eeb66e7e090 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.