Triple

T188829
Position Surface form Disambiguated ID Type / Status
Subject Pierre E3672 entity
Predicate hasFeminineForm P1613 FINISHED
Object Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
 E27778 NE FINISHED

How this triple was built (4 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: Pierrette | Statement: [Pierre, hasFeminineForm, Pierrette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pierrette
Context triple: [Pierre, hasFeminineForm, Pierrette]
  • A. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • B. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • C. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • 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: Pierrette
Triple: [Pierre, hasFeminineForm, Pierrette]
Generated description
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pierrette
Target entity description: Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • A. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • B. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • C. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • F. None of above. chosen

Provenance (5 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594abeec8190a48f36817e647fcd completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3441a5fb08190971136c2ec6e79ee completed Feb. 28, 2026, 7:38 p.m.
NEDg Description generation batch_69a344c87b608190afca7657bd702693 completed Feb. 28, 2026, 7:40 p.m.
NED2 Entity disambiguation (via description) batch_69a3452878c88190b5b8da3078006f40 completed Feb. 28, 2026, 7:42 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.