Triple

T21473963
Position Surface form Disambiguated ID Type / Status
Subject Jean Echenoz E529804 entity
Predicate notableWork P4 FINISHED
Object Courir
Courir is a novel by French author Jean Echenoz that fictionalizes the life and career of legendary Czech long-distance runner Emil Zátopek.
 E1486410 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: Courir | Statement: [Jean Echenoz, notableWork, Courir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Courir
Context triple: [Jean Echenoz, notableWork, Courir]
  • A. Laufen
    Laufen is a historic Bavarian town in southeastern Germany situated on the banks of the Salzach River near the Austrian border.
  • B. Laufen
    Laufen is a small Swiss town in the canton of Basel-Landschaft, known for its historic center and location near the French and German borders.
  • C. Come Running
    "Come Running" is an upbeat rhythm and blues song by Van Morrison, featured on his acclaimed 1970 album *Moondance*.
  • D. Worblaufen
    Worblaufen is a locality in the canton of Bern, Switzerland, known primarily as a residential suburb of Bern and a hub for the Swiss Post’s headquarters.
  • E. Marathon
    Marathon is a city in the Florida Keys known for its island chain, boating and fishing culture, and position along the historic route of the Overseas Highway and former Overseas Railroad.
  • 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: Courir
Triple: [Jean Echenoz, notableWork, Courir]
Generated description
Courir is a novel by French author Jean Echenoz that fictionalizes the life and career of legendary Czech long-distance runner Emil Zátopek.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Courir
Target entity description: Courir is a novel by French author Jean Echenoz that fictionalizes the life and career of legendary Czech long-distance runner Emil Zátopek.
  • A. Laufen
    Laufen is a small Swiss town in the canton of Basel-Landschaft, known for its historic center and location near the French and German borders.
  • B. Laufen
    Laufen is a historic Bavarian town in southeastern Germany situated on the banks of the Salzach River near the Austrian border.
  • C. Come Running
    "Come Running" is an upbeat rhythm and blues song by Van Morrison, featured on his acclaimed 1970 album *Moondance*.
  • D. Worblaufen
    Worblaufen is a locality in the canton of Bern, Switzerland, known primarily as a residential suburb of Bern and a hub for the Swiss Post’s headquarters.
  • E. Marathon
    Marathon is a city in the Florida Keys known for its island chain, boating and fishing culture, and position along the historic route of the Overseas Highway and former Overseas Railroad.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea156dac819087c4594d022d3df6 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cff96dbc8190adae0f91749530e4 completed May 17, 2026, 2:26 p.m.
NEDg Description generation batch_6a09d08ffa3c8190b5ab7e4cbf78719f completed May 17, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a09d18c77e481908a353d443d79b7ca completed May 17, 2026, 2:32 p.m.
Created at: April 16, 2026, 6:19 p.m.