Triple

T10159165
Position Surface form Disambiguated ID Type / Status
Subject Guglielmo E233843 entity
Predicate hasFrenchEquivalent P6538 FINISHED
Object Guillaume E16054 NE FINISHED

How this triple was built (3 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: [Guglielmo, hasFrenchEquivalent, Guillaume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillaume
Context triple: [Guglielmo, hasFrenchEquivalent, 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 violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFrenchEquivalent
Context triple: [Guglielmo, hasFrenchEquivalent, Guillaume]
  • A. isFrancophoneCounterpartOf
    Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
  • B. equivalentTitleInFrench
    Indicates that one entity’s title is the equivalent or corresponding title of another entity, specifically expressed in French.
  • C. languageEquivalent
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • D. usesPrimaryFrenchGateway
    Indicates that an entity routes its primary communications or connections through a main gateway located in or associated with French infrastructure or networks.
  • E. nameInFrench chosen
    Indicates that an entity is known or referred to by a specific name expressed in the French language.
  • F. None of above.

Provenance (4 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3176ac9388190bc76b3cffce93a3d completed April 6, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69cd4ba795808190acc9124c98c6e40f completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:09 p.m.