Triple

T667843
Position Surface form Disambiguated ID Type / Status
Subject Henri Desgrange E12904 entity
Predicate employer P7 FINISHED
Object L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
 E82729 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’Auto | Statement: [Henri Desgrange, employer, L’Auto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L’Auto
Context triple: [Henri Desgrange, employer, L’Auto]
  • A. The Diesel
    The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
  • B. The Silver Arrow
    The Silver Arrow is a track featured on the album "Harrow Songs."
  • C. Carrera
    Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
  • D. Alfa Pendular
    Alfa Pendular is Portugal’s high-speed tilting train service operated by Comboios de Portugal, connecting major cities such as Lisbon, Porto, and Faro with faster, more comfortable rail travel.
  • E. The Ultimate Driving Machine
    The Ultimate Driving Machine is the iconic marketing slogan used by BMW to emphasize its focus on performance-oriented, premium driving experiences.
  • 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’Auto
Triple: [Henri Desgrange, employer, L’Auto]
Generated description
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L’Auto
Target entity description: L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • A. The Diesel
    The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
  • B. The Silver Arrow
    The Silver Arrow is a track featured on the album "Harrow Songs."
  • C. Carrera
    Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
  • D. Alfa Pendular
    Alfa Pendular is Portugal’s high-speed tilting train service operated by Comboios de Portugal, connecting major cities such as Lisbon, Porto, and Faro with faster, more comfortable rail travel.
  • E. The Ultimate Driving Machine
    The Ultimate Driving Machine is the iconic marketing slogan used by BMW to emphasize its focus on performance-oriented, premium driving experiences.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ff921288190a2e5edb201ba69ee completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39d11508190a3bd0f118d122e1a completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c486463c8190905f9b0cbc0ba053 completed March 2, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce6be0b081909067962eef2ba7a2 completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:36 p.m.