Triple

T14807159
Position Surface form Disambiguated ID Type / Status
Subject Little Odessa E348066 entity
Predicate stars P1956 FINISHED
Object Maximilian Schell E237680 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: Maximilian Schell | Statement: [Little Odessa, stars, Maximilian Schell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maximilian Schell
Context triple: [Little Odessa, stars, Maximilian Schell]
  • A. Maximilian Schell chosen
    Maximilian Schell was an Austrian-Swiss actor and director renowned for his intense, Oscar-winning performances in European and Hollywood films, particularly in courtroom dramas and war-themed movies.
  • B. Bruno Ganz
    Bruno Ganz was a renowned Swiss actor acclaimed for his intense and nuanced performances in European cinema, particularly in films like "Wings of Desire" and "Downfall."
  • C. Helmut Weitz
    Helmut Weitz is a German long-distance runner who competed in international marathons during the 1970s and 1980s.
  • D. Klaus Menzel
    Klaus Menzel is a notable individual who shares the surname Menzel, recognized enough to be specifically distinguished among bearers of the name.
  • E. Jürgen Menzel
    Jürgen Menzel is a person notable enough to be recognized as a significant bearer of the surname Menzel.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c8bc6881908736c029943997ae completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:41 a.m.