Triple

T1982616
Position Surface form Disambiguated ID Type / Status
Subject William May Garland E43061 entity
Predicate name P16 FINISHED
Object William May Garland E43061 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 May Garland | Statement: [William May Garland, name, William May Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William May Garland
Context triple: [William May Garland, name, William May Garland]
  • A. William May Garland chosen
    William May Garland was an American real estate developer and sports administrator best known for leading the successful effort to bring and organize the 1932 Summer Olympics in Los Angeles.
  • B. Oscar Hopkins
    Oscar Hopkins is a timid, eccentric Anglican priest and compulsive gambler who becomes one of the two central protagonists in Peter Carey’s novel "Oscar and Lucinda."
  • C. John Norville
    John Norville is a screenwriter best known for co-writing the story for Disney's adventure film "Jungle Cruise."
  • D. Basil Embry
    Basil Embry was a distinguished Royal Air Force officer and World War II air commander who later became Chief of the Air Staff of the RAF.
  • E. Joseph Borden McKean
    Joseph Borden McKean was an American lawyer and jurist who served as Attorney General of Pennsylvania in the early 19th 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb81f5dac8190b5223fe2d59ee0d4 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032e1f648190acb502b9f82fe8c2 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:37 p.m.