Triple

T16647950
Position Surface form Disambiguated ID Type / Status
Subject Mischa Auer E404524 entity
Predicate name P16 FINISHED
Object Mischa Auer E404524 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: Mischa Auer | Statement: [Mischa Auer, name, Mischa Auer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mischa Auer
Context triple: [Mischa Auer, name, Mischa Auer]
  • A. Mischa Auer chosen
    Mischa Auer was a Russian-born American character actor best known for his eccentric comedic roles in Hollywood films of the 1930s and 1940s.
  • B. Lilli Schwarzkopf
    Lilli Schwarzkopf is a German heptathlete who won the silver medal at the 2012 London Olympic Games.
  • C. Esther Franz
    Esther Franz is a central character in Arthur Miller's play "The Price," serving as Victor Franz's pragmatic and often conflicted wife whose perspectives highlight the play's themes of sacrifice, regret, and marital strain.
  • D. Marlene Alraune
    Marlene Alraune is a key Marvel Comics character closely associated with Moon Knight, often depicted as his love interest and ally in his vigilante activities.
  • E. Heinz Conrads
    Heinz Conrads was an Austrian actor, radio and television presenter, and entertainer, best known for his popular postwar Viennese radio and TV shows.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad66fe88190be582b81719f2ac1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c0e37c819080161d522069aa1d completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.