Triple
T14503912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noël Perrin |
E340212
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sara Coburn Perrin
Sara Coburn Perrin is known primarily as the wife of American essayist and environmental writer Noël Perrin.
|
E1109600
|
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: Sara Coburn Perrin | Statement: [Noël Perrin, spouse, Sara Coburn Perrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Coburn Perrin Context triple: [Noël Perrin, spouse, Sara Coburn Perrin]
-
A.
Emily Austin Perry
Emily Austin Perry was an early Texas settler and influential member of the Austin family who played a key role in supporting Texian efforts during the Texas Revolution.
-
B.
Valda Crider Perkins
Valda Crider Perkins is best known as the wife of influential rockabilly musician Carl Perkins, a key figure in early rock and roll.
-
C.
Sara V. Finney
Sara V. Finney is an American television writer and producer best known as a co-creator of the sitcom "Moesha" and a pioneering Black woman in network TV comedy.
-
D.
Diana Rathbun
Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
-
E.
Mary Cunningham
Mary Cunningham is known as the spouse of Welsh actor Clive Merrison, recognized for his extensive work in British television, film, and radio drama.
- 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: Sara Coburn Perrin Triple: [Noël Perrin, spouse, Sara Coburn Perrin]
Generated description
Sara Coburn Perrin is known primarily as the wife of American essayist and environmental writer Noël Perrin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Coburn Perrin Target entity description: Sara Coburn Perrin is known primarily as the wife of American essayist and environmental writer Noël Perrin.
-
A.
Emily Austin Perry
Emily Austin Perry was an early Texas settler and influential member of the Austin family who played a key role in supporting Texian efforts during the Texas Revolution.
-
B.
Valda Crider Perkins
Valda Crider Perkins is best known as the wife of influential rockabilly musician Carl Perkins, a key figure in early rock and roll.
-
C.
Sara V. Finney
Sara V. Finney is an American television writer and producer best known as a co-creator of the sitcom "Moesha" and a pioneering Black woman in network TV comedy.
-
D.
Diana Rathbun
Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
-
E.
Mary Cunningham
Mary Cunningham is known as the spouse of Welsh actor Clive Merrison, recognized for his extensive work in British television, film, and radio drama.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda90e1778819095f5ac8848120098 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdb05e39f4819096b226a2e183b4da |
completed | May 8, 2026, 9:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb12756ac819087a120b84f021e51 |
completed | May 8, 2026, 9:47 a.m. |
Created at: April 10, 2026, 1:21 a.m.