Triple
T5027963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | d’Aubigny |
E113222
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
d’Aubigni
d’Aubigni is a variant spelling of the surname d’Aubigny, historically associated with a Norman noble family.
|
E487724
|
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: d’Aubigni | Statement: [d’Aubigny, hasVariant, d’Aubigni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: d’Aubigni Context triple: [d’Aubigny, hasVariant, d’Aubigni]
-
A.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
B.
Aubert
Aubert is a French given name and surname of Germanic origin, historically associated with medieval nobility and Christian saints.
-
C.
Préféte Duffaut
Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
-
D.
des Groseilliers
des Groseilliers is the surname of Médard des Groseilliers, a 17th-century French explorer and fur trader influential in the early North American fur trade.
-
E.
Gilles-Barnabé
Gilles-Barnabé is the given name of Gilles-Barnabé Guimard, an individual identifiable primarily through this personal name.
- 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: d’Aubigni Triple: [d’Aubigny, hasVariant, d’Aubigni]
Generated description
d’Aubigni is a variant spelling of the surname d’Aubigny, historically associated with a Norman noble family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: d’Aubigni Target entity description: d’Aubigni is a variant spelling of the surname d’Aubigny, historically associated with a Norman noble family.
-
A.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
B.
Aubert
Aubert is a French given name and surname of Germanic origin, historically associated with medieval nobility and Christian saints.
-
C.
Préféte Duffaut
Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
-
D.
des Groseilliers
des Groseilliers is the surname of Médard des Groseilliers, a 17th-century French explorer and fur trader influential in the early North American fur trade.
-
E.
Gilles-Barnabé
Gilles-Barnabé is the given name of Gilles-Barnabé Guimard, an individual identifiable primarily through this personal name.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738d852c8190a122354f1e1f5343 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c64db5c81909224c82ae9d9e0ab |
completed | March 21, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69be9ce7959081908b9ddb4c677c477c |
completed | March 21, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9d7e00f88190b2d12e872fadc181 |
completed | March 21, 2026, 1:30 p.m. |
Created at: March 20, 2026, 1:36 p.m.