Triple

T14483797
Position Surface form Disambiguated ID Type / Status
Subject Raymond Hawkey E359175 entity
Predicate employer P7 FINISHED
Object Daily Express E18864 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: Daily Express | Statement: [Raymond Hawkey, employer, Daily Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daily Express
Context triple: [Raymond Hawkey, employer, Daily Express]
  • A. Daily Express chosen
    The Daily Express is a long-running British national tabloid newspaper known for its conservative stance, sensationalist headlines, and significant influence on UK popular and political discourse.
  • B. Sunday Express
    Sunday Express is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and entertainment.
  • C. Daily Mail
    The Daily Mail is a British daily tabloid newspaper known for its conservative editorial stance, extensive coverage of celebrity and human-interest stories, and significant influence on UK public opinion.
  • D. The Express
    The Express is a sports drama film that tells the inspiring true story of Ernie Davis, the first African American to win the Heisman Trophy.
  • E. L’Express
    L’Express is a major French weekly news magazine known for its political and intellectual commentary.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924d7f4c8190b1f62b5ffe1ff649 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a73cf48190811d6de182e891c4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.