Triple

T3352694
Position Surface form Disambiguated ID Type / Status
Subject Alphonse Joseph Georges E70532 entity
Predicate givenName P17 FINISHED
Object Alphonse E69542 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: Alphonse | Statement: [Alphonse Joseph Georges, givenName, Alphonse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alphonse
Context triple: [Alphonse Joseph Georges, givenName, Alphonse]
  • A. Alphonse chosen
    Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
  • B. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • C. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • D. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb23ec53881908a04c7f784fe8c43 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fae497588190b8f4d23d2925ad9b completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:13 p.m.