Triple

T10031712
Position Surface form Disambiguated ID Type / Status
Subject 1950 Academy Awards E204866 entity
Predicate host P2592 FINISHED
Object Conrad Nagel E319764 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: Conrad Nagel | Statement: [1950 Academy Awards, host, Conrad Nagel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Nagel
Context triple: [1950 Academy Awards, host, Conrad Nagel]
  • A. Conrad Nagel chosen
    Conrad Nagel was an American film and stage actor prominent during the silent and early sound eras, known for his sophisticated leading-man roles and long career in Hollywood.
  • B. Charles Guggenheim
    Charles Guggenheim was an American documentary filmmaker renowned for his politically engaged and historically focused films, earning multiple Academy Awards over his career.
  • C. Conrad Sewell
    Conrad Sewell is an Australian singer-songwriter known for his soulful pop vocals and collaborations on international hits.
  • D. Walter Naegle
    Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
  • E. Seymour Nebenzal
    Seymour Nebenzal was a prominent German-American film producer known for his work in Weimar cinema and later in Hollywood, including influential films such as Fritz Lang’s "M."
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce461d6481908cc8f968856e0337 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e559a1608190903e9b2dff12bb00 completed April 5, 2026, 10:42 p.m.
Created at: March 30, 2026, 8:54 p.m.