Triple

T5139715
Position Surface form Disambiguated ID Type / Status
Subject Hedy Lamarr E115913 entity
Predicate spouse P13 FINISHED
Object John Loder E351210 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: John Loder | Statement: [Hedy Lamarr, spouse, John Loder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Loder
Context triple: [Hedy Lamarr, spouse, John Loder]
  • A. John Loder chosen
    John Loder was a British-born film and television actor active from the 1920s to the 1960s, known for his roles in Hollywood and British cinema.
  • B. William Orlamond
    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.
  • C. Lumley Lyster
    Lumley Lyster was a Royal Navy officer and pioneering naval aviator best known for planning and directing the carrier-based air attack on the Italian fleet at Taranto during World War II.
  • D. George Ambrose Lloyd
    George Ambrose Lloyd was a British colonial administrator and politician who served as Governor of Bombay and later as Governor of Bengal during the early 20th century.
  • E. Guy Woolford
    Guy Woolford is the businessman who founded Equifax Inc., one of the major consumer credit reporting agencies in the United States.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ce7fc8190844b6078755cddad completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed91e4ab88190827a77b0a356b7c3 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:43 p.m.