Triple

T12604670
Position Surface form Disambiguated ID Type / Status
Subject Segond E300946 entity
Predicate hasNotableBearer P458 FINISHED
Object Louis Segond E54360 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: Louis Segond | Statement: [Segond, hasNotableBearer, Louis Segond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Segond
Context triple: [Segond, hasNotableBearer, Louis Segond]
  • A. Louis Segond chosen
    Louis Segond was a 19th-century Swiss Protestant theologian best known for producing one of the most widely used French translations of the Bible.
  • B. Paul Séjourné
    Paul Séjourné was a prominent French civil engineer renowned for his pioneering work on large masonry arch bridges in the late 19th and early 20th centuries.
  • C. Marcel Guillemaud
    Marcel Guillemaud was a writer whose work served as the basis for the film "Le Million."
  • D. Armand Thirard
    Armand Thirard was a prominent French cinematographer known for his work on classic films of the 1930s–1950s, particularly in collaboration with major directors of French cinema.
  • E. Elie Delaunay
    Elie Delaunay was a 19th-century French painter known for his refined academic style and historical and mythological subjects.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e7f2dc8190a42cab7a0e5ea7f3 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecb09e481909d688f174372dde7 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:10 p.m.