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.