Triple

T14288133
Position Surface form Disambiguated ID Type / Status
Subject Henri Rolin E354232 entity
Predicate name P16 FINISHED
Object Henri Rolin E354232 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: Henri Rolin | Statement: [Henri Rolin, name, Henri Rolin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henri Rolin
Context triple: [Henri Rolin, name, Henri Rolin]
  • A. Henri Rolin chosen
    Henri Rolin was a Belgian jurist and politician known for his contributions to international law and human rights.
  • B. Claude Dauphin
    Claude Dauphin was a French actor known for his prolific film and stage career from the 1930s onward, often appearing in both French and international productions.
  • C. Benoît de Boigne
    Benoît de Boigne was an 18th–19th century Savoyard adventurer and general who made his fortune commanding armies in India before becoming a prominent benefactor in his native Chambéry.
  • D. Jacques de Fariaux
    Jacques de Fariaux was a 17th-century French military officer best known for commanding the defending forces during the 1673 siege of Maastricht in the Franco-Dutch War.
  • E. Guillaume Deffontaines
    Guillaume Deffontaines is a French cinematographer known for his visually striking work on contemporary European films, including the drama "Loin des hommes."
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e68118819082448393cc141d96 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:11 a.m.