Triple

T4049936
Position Surface form Disambiguated ID Type / Status
Subject Henri Desgrange E84158 entity
Predicate employer P7 FINISHED
Object L'Auto E82729 NE FINISHED

How this triple was built (2 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. L’Auto chosen
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • B. Mercédès
    Mercédès is the given name of Mercédès Jellinek, the woman after whom the Mercedes automobile brand was named.
  • C. Mercédès
    Mercédès is a central character in Alexandre Dumas' novel "The Count of Monte Cristo," known as Edmond Dantès' former fiancée whose life is upended by his wrongful imprisonment and presumed death.
  • D. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • E. The Rambler
    The Rambler is Samuel Johnson’s influential 18th-century periodical of moral and philosophical essays that helped establish his reputation as a leading English man of letters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8413848190992e4b5f3b29b43c completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55656ecbc819093f23636a7f72f36 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.