Triple

T21898605
Position Surface form Disambiguated ID Type / Status
Subject Mr. Nobody E540748 entity
Predicate productionCompany P490 FINISHED
Object Eurimages
Eurimages is the Council of Europe’s film support fund that finances and promotes independent European co-productions.
E1508032 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: Eurimages | Statement: [Mr. Nobody, productionCompany, Eurimages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurimages
Context triple: [Mr. Nobody, productionCompany, Eurimages]
  • A. Gaumont
    Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
  • B. Orsay Films
    Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
  • C. Parafrance Films
    Parafrance Films is a French film production company known for backing notable French cinema projects.
  • D. Ultramar Films
    Ultramar Films was a Mexican film production company best known for producing Luis Buñuel’s acclaimed 1950 drama "Los Olvidados."
  • E. Gaumont Pathé Archives
    Gaumont Pathé Archives is a major French film and newsreel archive preserving and providing access to historical audiovisual materials from the Gaumont and Pathé studios.
  • 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: Eurimages
Triple: [Mr. Nobody, productionCompany, Eurimages]
Generated description
Eurimages is the Council of Europe’s film support fund that finances and promotes independent European co-productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eurimages
Target entity description: Eurimages is the Council of Europe’s film support fund that finances and promotes independent European co-productions.
  • A. Gaumont
    Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
  • B. Orsay Films
    Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
  • C. Parafrance Films
    Parafrance Films is a French film production company known for backing notable French cinema projects.
  • D. Ultramar Films
    Ultramar Films was a Mexican film production company best known for producing Luis Buñuel’s acclaimed 1950 drama "Los Olvidados."
  • E. Gaumont Pathé Archives
    Gaumont Pathé Archives is a major French film and newsreel archive preserving and providing access to historical audiovisual materials from the Gaumont and Pathé studios.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc8c2108190b55ff1ba3badc9fb completed April 28, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a5a03382c819096fc1806717b1c23 completed May 18, 2026, 12:14 a.m.
NEDg Description generation batch_6a0a5a967d28819084a37207e17d4f68 completed May 18, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5b24f6708190bfe903dceb0e9210 completed May 18, 2026, 12:19 a.m.
Created at: April 16, 2026, 7:07 p.m.