Triple
T10915216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrice Wymore |
E257803
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wymore
Wymore is a surname most notably associated with American actress and singer Patrice Wymore.
|
E894306
|
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: Wymore | Statement: [Patrice Wymore, familyName, Wymore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wymore Context triple: [Patrice Wymore, familyName, Wymore]
-
A.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
-
B.
Farlington
Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
-
C.
Sarratt
Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
-
D.
Willoughby
Willoughby is a rapidly growing residential and commercial neighbourhood in the Township of Langley in British Columbia, Canada.
-
E.
Willoughby
Willoughby is a tranquil, nostalgic small town that serves as the idyllic setting in the classic The Twilight Zone episode "A Stop at Willoughby."
- 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: Wymore Triple: [Patrice Wymore, familyName, Wymore]
Generated description
Wymore is a surname most notably associated with American actress and singer Patrice Wymore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wymore Target entity description: Wymore is a surname most notably associated with American actress and singer Patrice Wymore.
-
A.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
-
B.
Farlington
Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
-
C.
Sarratt
Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
-
D.
Willoughby
Willoughby is a rapidly growing residential and commercial neighbourhood in the Township of Langley in British Columbia, Canada.
-
E.
Willoughby
Willoughby is a tranquil, nostalgic small town that serves as the idyllic setting in the classic The Twilight Zone episode "A Stop at Willoughby."
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216eb77dc81908c380f5fcd507275 |
completed | April 17, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69e21d8952c881908a952de83754e049 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e2247fbd348190bb0d221923dac892 |
completed | April 17, 2026, 12:16 p.m. |
Created at: April 8, 2026, 9:22 p.m.