Triple
T8437008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Le Fauconnier |
E199251
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Abondance
Abondance is a Cubist painting by French artist Henri Le Fauconnier, recognized for its bold geometric forms and vibrant, fragmented depiction of figures and space.
|
E733793
|
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: Abondance | Statement: [Henri Le Fauconnier, notableWork, Abondance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abondance Context triple: [Henri Le Fauconnier, notableWork, Abondance]
-
A.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
B.
Marlais
Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
-
C.
La Baille
La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
-
D.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
- 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: Abondance Triple: [Henri Le Fauconnier, notableWork, Abondance]
Generated description
Abondance is a Cubist painting by French artist Henri Le Fauconnier, recognized for its bold geometric forms and vibrant, fragmented depiction of figures and space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abondance Target entity description: Abondance is a Cubist painting by French artist Henri Le Fauconnier, recognized for its bold geometric forms and vibrant, fragmented depiction of figures and space.
-
A.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
B.
Marlais
Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
-
C.
La Baille
La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
-
D.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13446788190ad52a4fd6e8b498a |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d7d19608190ad3160fc00f8d4b0 |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1ea3aaf881909562b65cefb20089 |
completed | April 2, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f8d748c81909b331ed822919447 |
completed | April 2, 2026, 7:49 a.m. |
Created at: March 30, 2026, 6:08 p.m.