Triple

T9846518
Position Surface form Disambiguated ID Type / Status
Subject Le Beau Serge E239353 entity
Predicate hasCharacter P2308 FINISHED
Object Serge E326747 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: Serge | Statement: [Le Beau Serge, hasCharacter, Serge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serge
Context triple: [Le Beau Serge, hasCharacter, Serge]
  • A. Serge chosen
    Serge is a masculine given name of French origin, commonly used in Francophone countries and derived from the Latin name Sergius.
  • B. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Sergy
    Sergy is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • D. Samsonov
    Samsonov is a Russian surname borne by numerous notable figures, including military leaders, athletes, and public personalities.
  • E. Sergei Makarov
    Sergei Makarov is a legendary Russian ice hockey forward renowned for his starring role with the Soviet national team and CSKA Moscow, as well as his successful NHL career.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5e1b67c8190ad7b57ea423511d8 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.