Triple

T12729122
Position Surface form Disambiguated ID Type / Status
Subject Lynn Fontanne E304184 entity
Predicate workedWith P398 FINISHED
Object Alfred Lunt E315037 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: Alfred Lunt | Statement: [Lynn Fontanne, workedWith, Alfred Lunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfred Lunt
Context triple: [Lynn Fontanne, workedWith, Alfred Lunt]
  • A. Alfred Lunt chosen
    Alfred Lunt was a renowned American stage actor, celebrated for his sophisticated performances and legendary theatrical partnership with his wife, Lynn Fontanne.
  • B. Jack Basehart
    Jack Basehart is the son of American actor Richard Basehart, known for his work in film and television during the mid-20th century.
  • C. Hugh Sothern
    Hugh Sothern was an American character actor active in early 20th-century stage and film, known for supporting roles in Hollywood movies.
  • D. Charles Bickford
    Charles Bickford was an American character actor known for his rugged screen presence and acclaimed supporting roles in numerous classic Hollywood films.
  • E. Edgar Ansel Mowrer
    Edgar Ansel Mowrer was a Pulitzer Prize–winning American journalist and foreign correspondent renowned for his incisive reporting on European politics in the interwar and World War II eras.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e7dec08190b522a8f3bfde6fe2 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:25 p.m.