Triple
T15208374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Noailles |
E363448
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Noailles
Noailles is a prominent French noble family name historically associated with influential aristocrats, military leaders, and statesmen.
|
E1201492
|
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: Noailles | Statement: [House of Noailles, hasFamilyName, Noailles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noailles Context triple: [House of Noailles, hasFamilyName, Noailles]
-
A.
Noailles
Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
-
B.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
C.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
-
D.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
E.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
- 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: Noailles Triple: [House of Noailles, hasFamilyName, Noailles]
Generated description
Noailles is a prominent French noble family name historically associated with influential aristocrats, military leaders, and statesmen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noailles Target entity description: Noailles is a prominent French noble family name historically associated with influential aristocrats, military leaders, and statesmen.
-
A.
Noailles
Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
-
B.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
C.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
-
D.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
E.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007757ed48190813f6ab839240a15 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a000bd836f081909ee477fd311c3295 |
completed | May 10, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000c33963c8190a00271fb732c5b50 |
completed | May 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 3:11 a.m.