Triple

T16301787
Position Surface form Disambiguated ID Type / Status
Subject Luke Martin E395806 entity
Predicate createdBy P806 FINISHED
Object Waldo Salt E252837 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: Waldo Salt | Statement: [Luke Martin, createdBy, Waldo Salt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldo Salt
Context triple: [Luke Martin, createdBy, Waldo Salt]
  • A. Waldo Salt chosen
    Waldo Salt was an American screenwriter renowned for his Oscar-winning work on films such as "Midnight Cowboy" and "Coming Home."
  • B. Bob Hartley
    Bob Hartley is a Canadian professional ice hockey coach best known for leading the Colorado Avalanche to a Stanley Cup championship and later coaching several NHL teams, including the Atlanta Thrashers and Calgary Flames.
  • C. Neil Hamburger
    Neil Hamburger is the alter ego of American comedian Gregg Turkington, known for his deliberately awkward, anti-comedy stand-up persona and offbeat comedy albums.
  • D. Elwood Bredell
    Elwood Bredell was an American cinematographer best known for his work on classic Hollywood films and film noir in the 1930s and 1940s.
  • E. Harold Chasen
    Harold Chasen is the morbid, death-obsessed young protagonist of the dark romantic comedy film "Harold and Maude."
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e32da7081908d8bd320374a5731 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.