Triple

T5556064
Position Surface form Disambiguated ID Type / Status
Subject Albert Parker E145643 entity
Predicate directed P7373 FINISHED
Object The Road to London E533414 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: The Road to London | Statement: [Albert Parker, directed, The Road to London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Road to London
Context triple: [Albert Parker, directed, The Road to London]
  • A. The Road to London chosen
    The Road to London is a British film directed by Albert Parker, best known as one of his notable works in early 20th-century cinema.
  • B. Two Tickets to London
    Two Tickets to London is a 1943 American World War II-era drama film featuring Dooley Wilson among its cast.
  • C. Over Hulton
    Over Hulton is a residential suburb in the town of Westhoughton, within the Metropolitan Borough of Bolton in Greater Manchester, England.
  • D. Road to the Isles
    Road to the Isles is a scenic route in the Scottish Highlands famed for its dramatic coastal and mountain landscapes and historic connections to the Western Isles.
  • E. The Road to Berlin
    The Road to Berlin is a Russian war drama film in which Svetlana Khodchenkova plays a significant role, depicting the hardships and human stories of the Eastern Front during World War II.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffc5e7c81908e1c454d3bfd357b completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d01a9948190a033947c7c031e04 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:36 p.m.