Triple

T13313312
Position Surface form Disambiguated ID Type / Status
Subject Max et Jérémie E317127 entity
Predicate productionCompany P490 FINISHED
Object UGC
UGC is a major French film production and distribution company, also known for operating a large chain of cinemas in France and other European countries.
 E1032880 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: UGC | Statement: [Max et Jérémie, productionCompany, UGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UGC
Context triple: [Max et Jérémie, productionCompany, UGC]
  • A. UGC
    UGC (University Grants Commission) is a statutory body of the Indian government responsible for coordinating, determining, and maintaining standards of higher education in India.
  • B. UGC
    UGC is an astronomical catalog of galaxies widely used to identify and classify extragalactic objects such as the Leo II Dwarf Galaxy.
  • C. UGC
    UGC is the national higher education regulatory and funding body of Bangladesh responsible for overseeing universities and maintaining academic standards.
  • D. UGC
    UGC is the statutory body in Hong Kong responsible for advising the government on the funding and strategic development of publicly funded universities.
  • E. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • 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: UGC
Triple: [Max et Jérémie, productionCompany, UGC]
Generated description
UGC is a major French film production and distribution company, also known for operating a large chain of cinemas in France and other European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UGC
Target entity description: UGC is a major French film production and distribution company, also known for operating a large chain of cinemas in France and other European countries.
  • A. UGC
    UGC (University Grants Commission) is a statutory body of the Indian government responsible for coordinating, determining, and maintaining standards of higher education in India.
  • B. UGC
    UGC is an astronomical catalog of galaxies widely used to identify and classify extragalactic objects such as the Leo II Dwarf Galaxy.
  • C. UGC
    UGC is the national higher education regulatory and funding body of Bangladesh responsible for overseeing universities and maintaining academic standards.
  • D. UGC
    UGC is the statutory body in Hong Kong responsible for advising the government on the funding and strategic development of publicly funded universities.
  • E. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e7b9a48190a33b04df8ad45ed8 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b868608190971c38f26b61cf28 completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f718705a44819084b97d35a10ee50d completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:29 p.m.