Triple

T4104462
Position Surface form Disambiguated ID Type / Status
Subject Gilbert E88415 entity
Predicate hasCognate P2525 FINISHED
Object Gilberte
Gilberte is a French feminine given name, historically used in Francophone countries and derived from the masculine name Gilbert.
 E415564 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: Gilberte | Statement: [Gilbert, hasCognate, Gilberte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gilberte
Context triple: [Gilbert, hasCognate, Gilberte]
  • A. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • B. 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.
  • C. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • D. Eugenie
    Eugenie is the birth name of American silent-film star Billie Dove, a popular actress of the 1920s and early 1930s.
  • E. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • 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: Gilberte
Triple: [Gilbert, hasCognate, Gilberte]
Generated description
Gilberte is a French feminine given name, historically used in Francophone countries and derived from the masculine name Gilbert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gilberte
Target entity description: Gilberte is a French feminine given name, historically used in Francophone countries and derived from the masculine name Gilbert.
  • A. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • B. 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.
  • C. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • D. Eugenie
    Eugenie is the birth name of American silent-film star Billie Dove, a popular actress of the 1920s and early 1930s.
  • E. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576a3e75c8190ab08954220b4b89a completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b57a85917081909200e643db761152 completed March 14, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69b57b1d1c00819092f85dd7856b4381 completed March 14, 2026, 3:13 p.m.
Created at: March 9, 2026, 3:40 p.m.