Triple

T12833754
Position Surface form Disambiguated ID Type / Status
Subject Flesh and the Devil E306852 entity
Predicate starring P1507 FINISHED
Object William Orlamond E269552 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: William Orlamond | Statement: [Flesh and the Devil, starring, William Orlamond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Orlamond
Context triple: [Flesh and the Devil, starring, William Orlamond]
  • A. William Orlamond chosen
    William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
  • B. Richard Bellingham
    Richard Bellingham was a 17th-century colonial magistrate and politician who served multiple terms as governor of the Massachusetts Bay Colony.
  • C. John Norreys
    John Norreys was an English soldier and commander of the late 16th century, noted for his prominent role in Elizabethan military campaigns in Europe.
  • D. Guy Woolford
    Guy Woolford is the businessman who founded Equifax Inc., one of the major consumer credit reporting agencies in the United States.
  • E. William Walmsley
    William Walmsley was a British entrepreneur and co-founder of the company that evolved into the Jaguar car marque.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb1c7248190bb6e644e041d192e completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54838888190804202e45a55de48 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:34 p.m.