Triple

T15198122
Position Surface form Disambiguated ID Type / Status
Subject Alma Kruger E363191 entity
Predicate name P16 FINISHED
Object Alma Kruger E363191 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: Alma Kruger | Statement: [Alma Kruger, name, Alma Kruger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alma Kruger
Context triple: [Alma Kruger, name, Alma Kruger]
  • A. Alma Kruger chosen
    Alma Kruger was an American stage and film actress best known for her character roles in Hollywood movies of the 1930s and 1940s.
  • B. Alma Wassermann
    Alma Wassermann was the wife of Nobel Prize–winning Yiddish author Isaac Bashevis Singer and a significant partner in his personal and literary life.
  • C. Ursula Hirschmann
    Ursula Hirschmann was a German-born anti-fascist activist and pioneering European federalist who played a key role in the early movement for European integration.
  • D. Helene Weber
    Helene Weber was a German politician and one of the few women involved in drafting both the Weimar and post–World War II German constitutions.
  • E. Edith Harms
    Edith Harms was the wife and frequent model of Austrian Expressionist painter Egon Schiele, remembered primarily for her close personal and artistic association with him before their early deaths in 1918.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3b3fc0819094daf892200bd1ac completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:10 a.m.