Triple

T19807794
Position Surface form Disambiguated ID Type / Status
Subject Jules Sitruk E475859 entity
Predicate notableWork P4 FINISHED
Object Les Aiguilles rouges
Les Aiguilles rouges is a French film featuring actor Jules Sitruk in a prominent role.
 E1395527 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: Les Aiguilles rouges | Statement: [Jules Sitruk, notableWork, Les Aiguilles rouges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Aiguilles rouges
Context triple: [Jules Sitruk, notableWork, Les Aiguilles rouges]
  • A. Die Roten
    Die Roten is the German nickname for VfB Stuttgart, a professional football club known for its red home colors and success in the Bundesliga.
  • B. Die Roten
    Die Roten is the German nickname for Hannover 96, a professional football club based in Hanover that traditionally plays in red.
  • C. Le Cercle Rouge
    Le Cercle Rouge is a 1970 French crime thriller film directed by Jean-Pierre Melville, renowned for its minimalist style and meticulous heist sequence.
  • D. La Revolución
    La Revolución is a reggaeton studio album by Puerto Rican duo Wisin & Yandel that showcases their signature urban sound and solidified their status in Latin urban music.
  • E. Les Rouges
    Les Rouges is the popular nickname for the Canada men's national soccer team, reflecting their traditional red team colors.
  • 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: Les Aiguilles rouges
Triple: [Jules Sitruk, notableWork, Les Aiguilles rouges]
Generated description
Les Aiguilles rouges is a French film featuring actor Jules Sitruk in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Aiguilles rouges
Target entity description: Les Aiguilles rouges is a French film featuring actor Jules Sitruk in a prominent role.
  • A. Die Roten
    Die Roten is the German nickname for Hannover 96, a professional football club based in Hanover that traditionally plays in red.
  • B. Die Roten
    Die Roten is the German nickname for VfB Stuttgart, a professional football club known for its red home colors and success in the Bundesliga.
  • C. Le Cercle Rouge
    Le Cercle Rouge is a 1970 French crime thriller film directed by Jean-Pierre Melville, renowned for its minimalist style and meticulous heist sequence.
  • D. La Revolución
    La Revolución is a reggaeton studio album by Puerto Rican duo Wisin & Yandel that showcases their signature urban sound and solidified their status in Latin urban music.
  • E. Les Rouges
    Les Rouges is the popular nickname for the Canada men's national soccer team, reflecting their traditional red team colors.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428f5c48190be6ae0d6a77675d2 completed April 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c50e7bbc81908808e8e734f6a360 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c6c26e708190aeb42569dc5e107c completed May 16, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a07c7549de08190916e3e48125beebb completed May 16, 2026, 1:24 a.m.
Created at: April 10, 2026, 1:49 p.m.