Triple

T18082129
Position Surface form Disambiguated ID Type / Status
Subject Sig Ruman E432718 entity
Predicate name P16 FINISHED
Object Sig Ruman NE NERFINISHED

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: Sig Ruman | Statement: [Sig Ruman, name, Sig Ruman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sig Ruman
Context triple: [Sig Ruman, name, Sig Ruman]
  • A. Sig Ruman chosen
    Sig Ruman was a German-American character actor known for his comedic and often blustery roles in classic Hollywood films, including several collaborations with the Marx Brothers and directors like Ernst Lubitsch.
  • B. William Sieghart
    William Sieghart is a British entrepreneur, publisher, and philanthropist best known for championing poetry and the arts in the UK, including founding major poetry initiatives and prizes.
  • C. Sigel
    Sigel is a surname most notably associated with American cinematographer Newton Thomas Sigel, known for his work on major Hollywood films.
  • D. Siegert
    Siegert is a German-language surname most notably associated with Johann Gottlieb Benjamin Siegert, the 19th-century creator of Angostura bitters.
  • E. Sigmar
    Sigmar is a masculine given name of German origin, notably borne by influential figures such as the artist Sigmar Polke.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fb42888190919fe711a281bd7c completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.