Triple

T5514765
Position Surface form Disambiguated ID Type / Status
Subject The Glenn Miller Story E144654 entity
Predicate starring P1507 FINISHED
Object Sig Ruman E432718 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: Sig Ruman | Statement: [The Glenn Miller Story, starring, Sig Ruman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sig Ruman
Context triple: [The Glenn Miller Story, starring, 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. Sigmar
    Sigmar is a masculine given name of German origin, notably borne by influential figures such as the artist Sigmar Polke.
  • D. Freeman Meskimen
    Freeman Meskimen was an American actor and the husband of actress Marion Ross.
  • E. Warren Jabali
    Warren Jabali was an American professional basketball guard/forward best known for his standout play and All-Star success in the American Basketball Association (ABA) during the late 1960s and early 1970s.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5b4e988190b590b4157cf089c1 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d52b808190ada94893b043fb19 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.