Triple
T11468815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alagnon |
E271846
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Sianne
Sianne is a river that serves as a tributary to the Alagnon in south-central France.
|
E927232
|
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: Sianne | Statement: [Alagnon, hasTributary, Sianne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sianne Context triple: [Alagnon, hasTributary, Sianne]
-
A.
Sienna
Sienna is a feminine given name most prominently associated with English-American actress and fashion icon Sienna Miller.
-
B.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
-
C.
Tenea
Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
-
D.
Sheelagh
Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
-
E.
Desariee
Desariee is the given first name of American actress Scout Taylor-Compton, known for her roles in horror films such as the "Halloween" remakes.
- 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: Sianne Triple: [Alagnon, hasTributary, Sianne]
Generated description
Sianne is a river that serves as a tributary to the Alagnon in south-central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sianne Target entity description: Sianne is a river that serves as a tributary to the Alagnon in south-central France.
-
A.
Sienna
Sienna is a feminine given name most prominently associated with English-American actress and fashion icon Sienna Miller.
-
B.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
-
C.
Tenea
Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
-
D.
Sheelagh
Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
-
E.
Desariee
Desariee is the given first name of American actress Scout Taylor-Compton, known for her roles in horror films such as the "Halloween" remakes.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9429a308190810b485708d28617 |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f15a50b881908d0930021833ae74 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f88f16748190826a7fc5d27019d7 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.