Triple
T10279684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Lhote |
E241064
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lhote
Lhote is a French surname most notably associated with André Lhote, a prominent 20th-century Cubist painter and art teacher.
|
E852078
|
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: Lhote | Statement: [André Lhote, familyName, Lhote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lhote Context triple: [André Lhote, familyName, Lhote]
-
A.
Hoëgne
Hoëgne is a river in eastern Belgium that flows through the Ardennes region before joining the Vesdre.
-
B.
Montet
Montet is a French surname most notably borne by archaeologist Pierre Montet, renowned for his discoveries in the royal necropolis of Tanis in Egypt.
-
C.
Tolochenaz
Tolochenaz is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its quiet residential character and proximity to Lausanne.
-
D.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
-
E.
Langenlois
Langenlois is a small Austrian town in Lower Austria renowned for its wine production, particularly Grüner Veltliner, and its picturesque vineyards.
- 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: Lhote Triple: [André Lhote, familyName, Lhote]
Generated description
Lhote is a French surname most notably associated with André Lhote, a prominent 20th-century Cubist painter and art teacher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lhote Target entity description: Lhote is a French surname most notably associated with André Lhote, a prominent 20th-century Cubist painter and art teacher.
-
A.
Hoëgne
Hoëgne is a river in eastern Belgium that flows through the Ardennes region before joining the Vesdre.
-
B.
Montet
Montet is a French surname most notably borne by archaeologist Pierre Montet, renowned for his discoveries in the royal necropolis of Tanis in Egypt.
-
C.
Tolochenaz
Tolochenaz is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its quiet residential character and proximity to Lausanne.
-
D.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
-
E.
Langenlois
Langenlois is a small Austrian town in Lower Austria renowned for its wine production, particularly Grüner Veltliner, and its picturesque vineyards.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d29fdf2c819099dd581deac08cf2 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f82f16688190b1c6b80e424bd552 |
completed | April 9, 2026, 12:51 a.m. |
| NEDg | Description generation | batch_69d6fcad625881909304201c1ebb3bcb |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd84cd708190816d94417294b52a |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:38 a.m.