Triple

T11970692
Position Surface form Disambiguated ID Type / Status
Subject Augustin Guillaume E284910 entity
Predicate familyName P18 FINISHED
Object Guillaume E16054 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: Guillaume | Statement: [Augustin Guillaume, familyName, Guillaume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillaume
Context triple: [Augustin Guillaume, familyName, Guillaume]
  • A. Guillaume chosen
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • B. Hugues
    Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
  • C. Gioffre
    Gioffre is an Italian given name most notably borne by Gioffre Borgia, a younger son of Pope Alexander VI from the influential Borgia family of Renaissance Italy.
  • D. Guillaume de Maria
    Guillaume de Maria is a film producer known for his work on the French movie "Une enfant du siècle."
  • E. Raoul
    Raoul is a masculine given name of French origin, notably borne by the Fauvist painter Raoul Dufy.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037d32e88190b1509285dc907d29 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d0791348190a2f6c0e808af3aea completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.