Triple

T11576992
Position Surface form Disambiguated ID Type / Status
Subject Watch on the Rhine E274531 entity
Predicate castMember P1668 FINISHED
Object Henry Daniell E162500 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: Henry Daniell | Statement: [Watch on the Rhine, castMember, Henry Daniell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Daniell
Context triple: [Watch on the Rhine, castMember, Henry Daniell]
  • A. Henry Daniell chosen
    Henry Daniell was a British character actor renowned for his many villainous and aristocratic roles in classic Hollywood films of the 1930s and 1940s.
  • B. George Davison
    George Davison is an Anglican bishop who serves as a senior cleric in the Church of Ireland.
  • C. Edward Walson
    Edward Walson is a film producer known for working on projects such as Woody Allen’s romantic comedy "Magic in the Moonlight."
  • D. Charles Henry Daniel
    Charles Henry Daniel is the birth name of Henry Daniell, a British actor known for his refined villainous roles in classic Hollywood films.
  • E. James Frederick Dawson
    James Frederick Dawson was an American landscape architect known for his influential work with the renowned Olmsted Brothers firm on parks, estates, and urban planning projects in the early 20th century.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89049721081909278adfada668ef9 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713f7ca4c81908f29143df420fd71 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.