Triple

T18099791
Position Surface form Disambiguated ID Type / Status
Subject Hunt Lowry E433184 entity
Predicate notableWork P4 FINISHED
Object The Express 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 Express | Statement: [Hunt Lowry, notableWork, The Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Express
Context triple: [Hunt Lowry, notableWork, The Express]
  • A. The Express chosen
    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.
  • B. L’Express
    L’Express is a major French weekly news magazine known for its political and intellectual commentary.
  • C. Expressen
    Expressen is a major Swedish daily tabloid newspaper known for its national coverage, opinion pieces, and investigative journalism.
  • D. Daily Express
    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.
  • E. Sunday Express
    Sunday Express is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and entertainment.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb521448190b97d2b2aa7e4d7e6 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.