Triple

T22769146
Position Surface form Disambiguated ID Type / Status
Subject Sidney Glass E563205 entity
Predicate worksFor P5820 FINISHED
Object The Daily Mirror 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: The Daily Mirror | Statement: [Sidney Glass, worksFor, The Daily Mirror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Daily Mirror
Context triple: [Sidney Glass, worksFor, The Daily Mirror]
  • A. Daily Mirror chosen
    The Daily Mirror is a long-running British national tabloid newspaper known for its left-leaning editorial stance and mass-market readership.
  • B. Sunday Express
    Sunday Express is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and entertainment.
  • C. The Sunday Telegraph
    The Sunday Telegraph is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and culture.
  • D. The Evening Mirror
    The Evening Mirror was a 19th-century New York City newspaper known for publishing notable literary works, including early pieces by Edgar Allan Poe.
  • E. Evening Standard
    The Evening Standard is a long-running London-based daily newspaper known for its coverage of city news, politics, business, and culture.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.