Triple

T8626207
Position Surface form Disambiguated ID Type / Status
Subject Notre musique E204285 entity
Predicate castMember P1668 FINISHED
Object Rony Kramer
Rony Kramer is an actor known for appearing in Jean-Luc Godard’s film "Notre musique."
E754283 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: Rony Kramer | Statement: [Notre musique, castMember, Rony Kramer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rony Kramer
Context triple: [Notre musique, castMember, Rony Kramer]
  • A. Arie Arnon
    Arie Arnon is an Israeli economist and peace activist recognized internationally for his contributions to promoting peace and justice, including being honored with the Sydney Peace Prize.
  • B. Uri Fruchtmann
    Uri Fruchtmann is an Israeli film producer and political activist best known for his work in documentary and socially engaged cinema.
  • C. Rony Kahan
    Rony Kahan is an entrepreneur best known as the co-founder of the global job search engine Indeed.
  • D. Arnon Grunberg
    Arnon Grunberg is a Dutch novelist, essayist, and columnist known for his darkly comic, psychologically incisive works that explore themes of identity, war, and human vulnerability.
  • E. Avner Kaufman
    Avner Kaufman is the central Mossad agent protagonist in Steven Spielberg’s film "Munich," depicted as a conflicted assassin grappling with the moral consequences of his mission.
  • 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: Rony Kramer
Triple: [Notre musique, castMember, Rony Kramer]
Generated description
Rony Kramer is an actor known for appearing in Jean-Luc Godard’s film "Notre musique."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rony Kramer
Target entity description: Rony Kramer is an actor known for appearing in Jean-Luc Godard’s film "Notre musique."
  • A. Arie Arnon
    Arie Arnon is an Israeli economist and peace activist recognized internationally for his contributions to promoting peace and justice, including being honored with the Sydney Peace Prize.
  • B. Uri Fruchtmann
    Uri Fruchtmann is an Israeli film producer and political activist best known for his work in documentary and socially engaged cinema.
  • C. Rony Kahan
    Rony Kahan is an entrepreneur best known as the co-founder of the global job search engine Indeed.
  • D. Arnon Grunberg
    Arnon Grunberg is a Dutch novelist, essayist, and columnist known for his darkly comic, psychologically incisive works that explore themes of identity, war, and human vulnerability.
  • E. Avner Kaufman
    Avner Kaufman is the central Mossad agent protagonist in Steven Spielberg’s film "Munich," depicted as a conflicted assassin grappling with the moral consequences of his mission.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472b8fa481909f52f83ea210483e completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf425b8a2c81909b1f8ce5da6d36fd completed April 3, 2026, 4:30 a.m.
NEDg Description generation batch_69cf43bd0f8c8190be2f7dc86f1e76e1 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf444c9cb08190a37f34faa4a3458d completed April 3, 2026, 4:38 a.m.
Created at: March 30, 2026, 6:26 p.m.