Triple

T1677835
Position Surface form Disambiguated ID Type / Status
Subject Blanche E36272 entity
Predicate hasVariant P455 FINISHED
Object Blanchette
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
 E190373 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: Blanchette | Statement: [Blanche, hasVariant, Blanchette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blanchette
Context triple: [Blanche, hasVariant, Blanchette]
  • A. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • B. Madame Leota
    Madame Leota is a disembodied, ghostly medium whose talking head in a crystal ball delivers eerie incantations in Disney’s Haunted Mansion attraction.
  • C. Antoinette
    Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
  • D. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • E. Lucile
    Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
  • 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: Blanchette
Triple: [Blanche, hasVariant, Blanchette]
Generated description
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blanchette
Target entity description: Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
  • A. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • B. Madame Leota
    Madame Leota is a disembodied, ghostly medium whose talking head in a crystal ball delivers eerie incantations in Disney’s Haunted Mansion attraction.
  • C. Antoinette
    Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
  • D. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • E. Lucile
    Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625f7e1081909c3c4fe76625783a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71ba4db08190a532fb334fd0cd23 completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad73cfce488190b0ed6b85713281d3 completed March 8, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69ad74401cbc8190bfaba1e9f32810bc completed March 8, 2026, 1:06 p.m.
Created at: March 4, 2026, 7:29 p.m.