Triple

T21746730
Position Surface form Disambiguated ID Type / Status
Subject Claude Simon E536807 entity
Predicate notableWork P4 FINISHED
Object L’Herbe
L’Herbe is a 1958 novel by French writer Claude Simon, associated with the Nouveau Roman movement and known for its experimental narrative style.
E1500158 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: L’Herbe | Statement: [Claude Simon, notableWork, L’Herbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L’Herbe
Context triple: [Claude Simon, notableWork, L’Herbe]
  • A. Malherbe
    Malherbe is the commonly used nickname for the French football club Stade Malherbe Caen.
  • B. La Moisson
    La Moisson is a painting by French Post-Impressionist artist Émile Bernard, exemplifying his early synthetist style and interest in rural, agrarian themes.
  • C. Les Saules
    Les Saules is a residential neighbourhood in Quebec City, Canada, known for its suburban character and location within the Les Rivières borough.
  • D. Le Buisson
    Le Buisson is a small French commune located in the Lozère department in southern France.
  • E. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • 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: L’Herbe
Triple: [Claude Simon, notableWork, L’Herbe]
Generated description
L’Herbe is a 1958 novel by French writer Claude Simon, associated with the Nouveau Roman movement and known for its experimental narrative style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: L’Herbe
Target entity description: L’Herbe is a 1958 novel by French writer Claude Simon, associated with the Nouveau Roman movement and known for its experimental narrative style.
  • A. Malherbe
    Malherbe is the commonly used nickname for the French football club Stade Malherbe Caen.
  • B. La Moisson
    La Moisson is a painting by French Post-Impressionist artist Émile Bernard, exemplifying his early synthetist style and interest in rural, agrarian themes.
  • C. Les Saules
    Les Saules is a residential neighbourhood in Quebec City, Canada, known for its suburban character and location within the Les Rivières borough.
  • D. Le Buisson
    Le Buisson is a small French commune located in the Lozère department in southern France.
  • E. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a771b908190886cade242e263e4 completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2eddcabc8190a97320733d2b44ca completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a3069272c8190a6c90ca0c8b777d5 completed May 17, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0a3114ce6c8190aeb972462837bb25 completed May 17, 2026, 9:20 p.m.
Created at: April 16, 2026, 6:49 p.m.