Triple

T8044158
Position Surface form Disambiguated ID Type / Status
Subject PCF E187506 entity
Predicate notableLeader P304 FINISHED
Object Fabien Roussel E252107 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: Fabien Roussel | Statement: [PCF, notableLeader, Fabien Roussel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabien Roussel
Context triple: [PCF, notableLeader, Fabien Roussel]
  • A. Fabien Roussel chosen
    Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
  • B. Olivier Basselin
    Olivier Basselin was a 15th-century French poet and songwriter from Normandy, known for his drinking songs and influence on the tradition of French popular poetry.
  • C. Laurent Mauvignier
    Laurent Mauvignier is a contemporary French novelist known for his psychologically intense, formally innovative works that often explore trauma, memory, and social marginalization.
  • D. Laurent Lomet
    Laurent Lomet was a mountaineer known for participating in the first recorded ascent of Monte Perdido in the Pyrenees.
  • E. Daniel Ducruet
    Daniel Ducruet is a former Monegasque bodyguard who gained international attention in the 1990s through his highly publicized relationship and brief marriage to Princess Stéphanie of Monaco.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4b5e0c819092949af0f995b850 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe4ca4cc8190a664968334225087 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:23 p.m.