Triple

T6310360
Position Surface form Disambiguated ID Type / Status
Subject Hugues E141482 entity
Predicate hasRelatedName P3889 FINISHED
Object Huguette
Huguette is a French feminine given name, traditionally used as the female counterpart of Hugues.
E584406 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: Huguette | Statement: [Hugues, hasRelatedName, Huguette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huguette
Context triple: [Hugues, hasRelatedName, Huguette]
  • A. 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.
  • B. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • C. Charlotte Hugonin
    Charlotte Hugonin was the wife of prominent 19th-century Scottish geologist Sir Roderick Murchison.
  • D. Georgette
    Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
  • E. Marguerite Huré
    Marguerite Huré was a pioneering French stained glass artist known for her innovative modernist designs in early 20th-century religious architecture.
  • 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: Huguette
Triple: [Hugues, hasRelatedName, Huguette]
Generated description
Huguette is a French feminine given name, traditionally used as the female counterpart of Hugues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huguette
Target entity description: Huguette is a French feminine given name, traditionally used as the female counterpart of Hugues.
  • 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. Charlotte Hugonin
    Charlotte Hugonin was the wife of prominent 19th-century Scottish geologist Sir Roderick Murchison.
  • D. Georgette
    Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
  • E. Marguerite Huré
    Marguerite Huré was a pioneering French stained glass artist known for her innovative modernist designs in early 20th-century religious architecture.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0648074b081908ba661651ba705a7 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45a924081909a1190ce2987b16d completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5e83baa8c819083ac5d8ed402f8b9 completed March 27, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c5e8cf4f7881908ede524ba24c1c9a completed March 27, 2026, 2:17 a.m.
Created at: March 22, 2026, 4:28 p.m.