Triple

T11760392
Position Surface form Disambiguated ID Type / Status
Subject Peter Bergman E279639 entity
Predicate familyName P18 FINISHED
Object Bergman E92338 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: Bergman | Statement: [Peter Bergman, familyName, Bergman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergman
Context triple: [Peter Bergman, familyName, Bergman]
  • A. Bergman chosen
    Bergman is the surname of Ingrid Bergman, the acclaimed Swedish actress renowned for her roles in classic films such as "Casablanca" and "Notorious."
  • B. William Bergman
    William Bergman is an entrepreneur best known as the founder of the lip care and skincare brand Blistex.
  • C. Ingmar Bergman
    Ingmar Bergman was a renowned Swedish film and theatre director, screenwriter, and producer, celebrated for his psychologically intense and philosophically rich works such as "The Seventh Seal" and "Persona."
  • D. Schygulla
    Schygulla is a German surname most famously borne by actress Hanna Schygulla, a prominent figure in New German Cinema.
  • E. Hans Alfredson
    Hans Alfredson was a renowned Swedish comedian, actor, writer, and director, best known as one half of the influential comedy duo Hasse & Tage.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a3dfd1081908221c8061931282b completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.