Triple

T10446330
Position Surface form Disambiguated ID Type / Status
Subject Laurentius E246296 entity
Predicate hasFrenchForm P6538 FINISHED
Object Laurent E694397 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: Laurent | Statement: [Laurentius, hasFrenchForm, Laurent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laurent
Context triple: [Laurentius, hasFrenchForm, Laurent]
  • A. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • B. Laurent
    Laurent is a central figure in Émile Zola’s novel "Thérèse Raquin," known as Thérèse’s lover and accomplice in a dark, psychologically driven crime.
  • C. Laurent
    Laurent is a nomadic vampire in the Twilight series who initially allies with James and Victoria before later attempting to betray the Cullens.
  • D. Laurent
    Laurent is a French surname historically associated with various notable figures and families.
  • E. Laurent chosen
    Laurent is a French given name, commonly used as the French form of Lawrence.
  • 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: hasFrenchForm
Context triple: [Laurentius, hasFrenchForm, Laurent]
  • A. isFrancophoneCounterpartOf
    Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
  • B. hasFrenchSector
    Indicates that an entity includes, controls, or is associated with a sector or area designated as French.
  • C. usesPrimaryFrenchGateway
    Indicates that an entity routes its primary communications or connections through a main gateway located in or associated with French infrastructure or networks.
  • D. FrenchSupport
    Indicates that one entity provides support, assistance, or backing to another in a specifically French context (e.g., by French actors, in France, or involving the French language or institutions).
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe083cd881909d2d8ad75d1d94cb completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94afc8ef0819093791447d3c3c018 completed April 10, 2026, 7:09 p.m.
PD Predicate disambiguation batch_69d4fb73a5e48190a8df4775bc5da80f completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:16 p.m.