Triple

T12529697
Position Surface form Disambiguated ID Type / Status
Subject Teresa Wright E299527 entity
Predicate workedWith P398 FINISHED
Object Fredric March E205378 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: Fredric March | Statement: [Teresa Wright, workedWith, Fredric March]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredric March
Context triple: [Teresa Wright, workedWith, Fredric March]
  • A. Fredric March chosen
    Fredric March was an acclaimed American stage and film actor, renowned for his versatility and two Academy Award–winning performances in "Dr. Jekyll and Mr. Hyde" and "The Best Years of Our Lives."
  • B. Frederick March
    Frederick March was a British sculptor and member of the notable March family of artists, active in the early 20th century.
  • C. Paul Muni
    Paul Muni was an acclaimed American stage and film actor of the early 20th century, renowned for his intense character portrayals and multiple Academy Award nominations and wins.
  • D. George Shields
    George Shields is a personal name shared by multiple individuals, including figures in fields such as politics, law, and academia.
  • E. Louis Calhern
    Louis Calhern was an American stage and film actor known for his sophisticated character roles in classic Hollywood cinema, including notable performances in films like "The Asphalt Jungle" and "Julius Caesar."
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ac6efe88190b48d2868443ed412 completed May 3, 2026, 5:49 p.m.
Created at: April 8, 2026, 9:57 p.m.