Triple

T20374716
Position Surface form Disambiguated ID Type / Status
Subject L.A.M.F. E497661 entity
Predicate featuresMusician P20942 FINISHED
Object Walter Lure NE NERFINISHED

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: Walter Lure | Statement: [L.A.M.F., featuresMusician, Walter Lure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Lure
Context triple: [L.A.M.F., featuresMusician, Walter Lure]
  • A. Walter Lure chosen
    Walter Lure was an American guitarist, singer, and songwriter best known for his work in the influential New York punk rock band Johnny Thunders and the Heartbreakers.
  • B. Walter Wolfrum
    Walter Wolfrum was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • C. Walter Buch
    Walter Buch was a high-ranking Nazi official who served as the chief judge of the Nazi Party’s Supreme Court and played a key role in enforcing party discipline.
  • D. Walter Blume
    Walter Blume was a German aircraft designer and former World War I fighter ace best known for his work on advanced Luftwaffe aircraft during the Second World War.
  • E. Walter Eckland
    Walter Eckland is the gruff, reluctant hero and boozy beachcomber-turned-lookout portrayed by Cary Grant in the World War II comedy film "Father Goose."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678abae8881908d7752f45a82857f completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.