Triple

T22051771
Position Surface form Disambiguated ID Type / Status
Subject Le Vieux Fusil E544901 entity
Predicate distributor P1951 FINISHED
Object SNC
SNC is a French film distribution company known for handling the release of numerous classic and contemporary French films.
 E1516102 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: SNC | Statement: [Le Vieux Fusil, distributor, SNC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNC
Context triple: [Le Vieux Fusil, distributor, SNC]
  • A. SNC
    SNC is the stock ticker symbol for SNC-Lavalin, a major Canadian engineering and construction company.
  • B. SNC
    SNC is the station code for Santa Clarita station, a passenger rail stop in Santa Clarita, California.
  • C. SNC
    SNC is the Southern Naval Command of the Indian Navy, responsible for training and operational readiness in India’s southern maritime region.
  • D. SNCASE
    SNCASE (Société Nationale de Constructions Aéronautiques du Sud-Est) was a French state-owned aircraft manufacturer known for producing military and civil aircraft in the mid-20th century.
  • E. SNC Mission Solutions
    SNC Mission Solutions is a division of Sierra Nevada Corporation that provides specialized mission systems and integrated solutions for defense, intelligence, and national security customers.
  • 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: SNC
Triple: [Le Vieux Fusil, distributor, SNC]
Generated description
SNC is a French film distribution company known for handling the release of numerous classic and contemporary French films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SNC
Target entity description: SNC is a French film distribution company known for handling the release of numerous classic and contemporary French films.
  • A. SNC
    SNC is the Southern Naval Command of the Indian Navy, responsible for training and operational readiness in India’s southern maritime region.
  • B. SNC
    SNC is the stock ticker symbol for SNC-Lavalin, a major Canadian engineering and construction company.
  • C. SNC
    SNC is the station code for Santa Clarita station, a passenger rail stop in Santa Clarita, California.
  • D. SNCASE
    SNCASE (Société Nationale de Constructions Aéronautiques du Sud-Est) was a French state-owned aircraft manufacturer known for producing military and civil aircraft in the mid-20th century.
  • E. SNC Mission Solutions
    SNC Mission Solutions is a division of Sierra Nevada Corporation that provides specialized mission systems and integrated solutions for defense, intelligence, and national security customers.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285513fc8190b691e1f57085956f completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7b3ccc8190a4d8728b135aa22d completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c2705e48190aebbc7b0b6221757 completed May 18, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7ce3c684819090b25ca1e7596722 completed May 18, 2026, 2:43 a.m.
Created at: April 16, 2026, 8:26 p.m.