Triple

T1301756
Position Surface form Disambiguated ID Type / Status
Subject Jean-Pierre E27779 entity
Predicate componentName P5298 FINISHED
Object Jean
Jean is a given name commonly used in French- and English-speaking countries for both males and females.
E57083 NE FINISHED

How this triple was built (5 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: Jean | Statement: [Jean-Pierre, componentName, Jean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean
Context triple: [Jean-Pierre, componentName, Jean]
  • A. Jean
    Jean is the given first name of Henry Dunant, the Swiss humanitarian who founded the Red Cross and received the first Nobel Peace Prize.
  • B. Jean
    Jean is a small unincorporated community in Clark County, Nevada, known primarily as a roadside stop and gateway to Las Vegas for travelers from California.
  • C. Alexis
    Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
  • D. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • E. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jean
Triple: [Jean-Pierre, componentName, Jean]
Generated description
Jean is a given name commonly used in French- and English-speaking countries for both males and females.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean
Target entity description: Jean is a given name commonly used in French- and English-speaking countries for both males and females.
  • A. Jean chosen
    Jean is the given first name of Henry Dunant, the Swiss humanitarian who founded the Red Cross and received the first Nobel Peace Prize.
  • B. Jean
    Jean is a small unincorporated community in Clark County, Nevada, known primarily as a roadside stop and gateway to Las Vegas for travelers from California.
  • C. Alexis
    Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
  • D. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • E. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: componentName
Context triple: [Jean-Pierre, componentName, Jean]
  • A. componentType
    Indicates that one entity specifies or classifies the kind or category of component that another entity represents or uses.
  • B. component1
    Indicates that one entity functions as a constituent or part of another entity within a larger whole.
  • C. partOfName chosen
    Indicates that one string is a component or substring that forms part of another entity’s name.
  • D. componentUnit
    Indicates that one entity functions as a constituent or sub-unit that forms part of a larger composite entity.
  • E. nameOf
    Indicates that one entity is the name or designation of another entity.
  • F. None of above.

Provenance (6 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c115ba64819081c55fa6807e19ef completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1594f94c8190bb6d3dc40534382e completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad164d4cfc8190a1be23c814b6b18f completed March 8, 2026, 6:25 a.m.
NED2 Entity disambiguation (via description) batch_69ad16a5c76c8190a0bb3ccf5557b1b0 completed March 8, 2026, 6:26 a.m.
PD Predicate disambiguation batch_69a4bee8544c8190874efd9bae9bccf9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.