Triple

T1180813
Position Surface form Disambiguated ID Type / Status
Subject Bugsy Malone E25131 entity
Predicate castMember P1668 FINISHED
Object Martin Lev
Martin Lev was a child actor best known for his role in the 1976 musical gangster film "Bugsy Malone."
E168206 NE FINISHED

How this triple was built (4 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: Martin Lev | Statement: [Bugsy Malone, castMember, Martin Lev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Lev
Context triple: [Bugsy Malone, castMember, Martin Lev]
  • A. Sergei Brylin
    Sergei Brylin is a former Russian professional ice hockey forward best known for his long NHL career with the New Jersey Devils, with whom he won three Stanley Cup championships.
  • B. Mikhail Brin
    Mikhail Brin is a Soviet-born mathematician and academic, best known as the father of Google co-founder Sergey Brin.
  • C. David Arakhamia
    David Arakhamia is a Ukrainian politician and businessman best known as a leading figure in President Volodymyr Zelenskyy's political party, Servant of the People.
  • D. Vladimir Olberg
    Vladimir Olberg was a Russian revolutionary and political activist who became one of the defendants in the 1931 Soviet show trial known as the Trial of the Sixteen.
  • E. Daniel Tarschys
    Daniel Tarschys is a Swedish political scientist and politician who served as Secretary General of the Council of Europe in the 1990s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martin Lev
Triple: [Bugsy Malone, castMember, Martin Lev]
Generated description
Martin Lev was a child actor best known for his role in the 1976 musical gangster film "Bugsy Malone."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin Lev
Target entity description: Martin Lev was a child actor best known for his role in the 1976 musical gangster film "Bugsy Malone."
  • A. Sergei Brylin
    Sergei Brylin is a former Russian professional ice hockey forward best known for his long NHL career with the New Jersey Devils, with whom he won three Stanley Cup championships.
  • B. Mikhail Brin
    Mikhail Brin is a Soviet-born mathematician and academic, best known as the father of Google co-founder Sergey Brin.
  • C. David Arakhamia
    David Arakhamia is a Ukrainian politician and businessman best known as a leading figure in President Volodymyr Zelenskyy's political party, Servant of the People.
  • D. Vladimir Olberg
    Vladimir Olberg was a Russian revolutionary and political activist who became one of the defendants in the 1931 Soviet show trial known as the Trial of the Sixteen.
  • E. Daniel Tarschys
    Daniel Tarschys is a Swedish political scientist and politician who served as Secretary General of the Council of Europe in the 1990s.
  • F. None of above. chosen

Provenance (5 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd32c5f48190b4e2d39fa052cbb7 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad158eca208190b763da8cb9af1dcd completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad15f77e448190ac68777035c1559b completed March 8, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_69ad165bf0308190bc7fbb1438806d1a completed March 8, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:45 p.m.