Triple

T16875953
Position Surface form Disambiguated ID Type / Status
Subject Juste avant la nuit E421298 entity
Predicate distributor P1951 FINISHED
Object Cinédis
Cinédis is a French film distribution company known for releasing numerous European films, particularly in the mid-20th century.
 E1237886 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: Cinédis | Statement: [Juste avant la nuit, distributor, Cinédis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cinédis
Context triple: [Juste avant la nuit, distributor, Cinédis]
  • A. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • B. Chenoui
    Chenoui is a Berber (Amazigh) language variety spoken by the Shenwa people in northern Algeria.
  • C. Larimna
    Larimna was an ancient Greek city of Opuntian Locris, situated on the coast of central Greece.
  • D. Maoutia
    Maoutia is a small genus of flowering plants in the nettle family Urticaceae, native to parts of Asia and the Pacific.
  • E. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • 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: Cinédis
Triple: [Juste avant la nuit, distributor, Cinédis]
Generated description
Cinédis is a French film distribution company known for releasing numerous European films, particularly in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cinédis
Target entity description: Cinédis is a French film distribution company known for releasing numerous European films, particularly in the mid-20th century.
  • A. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • B. Chenoui
    Chenoui is a Berber (Amazigh) language variety spoken by the Shenwa people in northern Algeria.
  • C. Larimna
    Larimna was an ancient Greek city of Opuntian Locris, situated on the coast of central Greece.
  • D. Maoutia
    Maoutia is a small genus of flowering plants in the nettle family Urticaceae, native to parts of Asia and the Pacific.
  • E. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b4abd08190841c5bb0b0eaa177 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c355f4108190a4209599bf5f50da completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c413314881909e308588af09ce2a completed May 10, 2026, 5:44 p.m.
Created at: April 10, 2026, 5:29 a.m.