Triple
T5035221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bollington |
E113403
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
White Nancy
White Nancy is a distinctive white-painted stone folly and local landmark situated on Kerridge Hill overlooking the town of Bollington in Cheshire, England.
|
E488210
|
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: White Nancy | Statement: [Bollington, hasLandmark, White Nancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Nancy Context triple: [Bollington, hasLandmark, White Nancy]
-
A.
Lucy Richer
Lucy Richer is a British television producer and BBC drama executive known for overseeing high-profile series such as "Years and Years."
-
B.
Rochelais
Rochelais is the French term for an inhabitant or native of the coastal city of La Rochelle in western France.
-
C.
Jeanne
Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
-
D.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
E.
Camille
Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
- 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: White Nancy Triple: [Bollington, hasLandmark, White Nancy]
Generated description
White Nancy is a distinctive white-painted stone folly and local landmark situated on Kerridge Hill overlooking the town of Bollington in Cheshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: White Nancy Target entity description: White Nancy is a distinctive white-painted stone folly and local landmark situated on Kerridge Hill overlooking the town of Bollington in Cheshire, England.
-
A.
Lucy Richer
Lucy Richer is a British television producer and BBC drama executive known for overseeing high-profile series such as "Years and Years."
-
B.
Rochelais
Rochelais is the French term for an inhabitant or native of the coastal city of La Rochelle in western France.
-
C.
Jeanne
Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
-
D.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
E.
Camille
Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b9ad488190a2a8c4da8858eb91 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c759c608190875b6d48d99024b4 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9de82ed48190bb85ba05a2d4ecbe |
completed | March 21, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9ea74c248190b08113606e43ebc5 |
completed | March 21, 2026, 1:35 p.m. |
Created at: March 20, 2026, 1:36 p.m.