Triple

T14839269
Position Surface form Disambiguated ID Type / Status
Subject Claude Lebel E348914 entity
Predicate employer P7 FINISHED
Object Sûreté E307877 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: Sûreté | Statement: [Claude Lebel, employer, Sûreté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sûreté
Context triple: [Claude Lebel, employer, Sûreté]
  • A. Suret
    Suret is a modern Eastern Neo-Aramaic language spoken primarily by Assyrian communities in parts of Iraq, Syria, Iran, and the global diaspora.
  • B. Sûre
    The Sûre is a river in Western Europe that flows through Belgium and Luxembourg, forming part of the border with Germany and serving as a significant tributary of the Moselle River.
  • C. Carabiniers
    The Carabiniers were a British cavalry regiment historically equipped with carbines and known for their role in various 18th- to 20th-century military campaigns.
  • D. Cazeneuve
    Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
  • E. National Police of France chosen
    The National Police of France is the civilian law enforcement agency responsible for policing urban areas, maintaining public order, and conducting criminal investigations under the authority of the French Ministry of the Interior.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a813b881908a71350073c8fc5c completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:52 a.m.