Triple

T22596779
Position Surface form Disambiguated ID Type / Status
Subject Post Captain E574701 entity
Predicate featuresCharacter P626 FINISHED
Object Sophie Williams E580004 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: Sophie Williams | Statement: [Post Captain, featuresCharacter, Sophie Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie Williams
Context triple: [Post Captain, featuresCharacter, Sophie Williams]
  • A. Sophie Morgan
    Sophie Morgan is a British television presenter, disability rights advocate, and artist known for her work on inclusive media and representation of disabled people.
  • B. Sophie Stewart
    Sophie Stewart was a Scottish stage and film actress active in the 1930s and 1940s, known for her roles in British cinema and theatre.
  • C. Sophia Williams chosen
    Sophia Williams is a fictional character in Patrick O'Brian’s Aubrey–Maturin series, best known as the intelligent and steadfast wife of Royal Navy captain Jack Aubrey.
  • D. Sophie Straw
    Sophie Straw is the charismatic, working-class young woman who becomes a groundbreaking television comedy star in Nick Hornby’s novel "Funny Girl."
  • E. Sophia Baines
    Sophia Baines is one of the central sisters in Arnold Bennett’s novel "The Old Wives’ Tale," whose life story illustrates the quiet dramas and social changes of provincial English womanhood in the late 19th and early 20th centuries.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16269a56881909bb5af0258150f93 completed April 29, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d63af408190b295665954b2ea6b completed May 18, 2026, 4:25 p.m.
Created at: April 17, 2026, 2:50 p.m.