Triple
T15348900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffin |
E366995
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Fiona Griffin
Fiona Griffin is a person notable enough to be recognized as a distinguished bearer of the Griffin surname.
|
E1151879
|
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: Fiona Griffin | Statement: [Griffin, hasNotableBearer, Fiona Griffin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiona Griffin Context triple: [Griffin, hasNotableBearer, Fiona Griffin]
-
A.
Fiona Black
Fiona Black is a notable individual recognized for achievements that have brought distinction to the surname Black.
-
B.
Felicity Rivers
Felicity Rivers is a character from Enid Blyton’s Malory Towers series, known as the younger sister of main protagonist Darrell Rivers and later a pupil at the same boarding school.
-
C.
Emma Forrest
Emma Forrest is a British-born novelist, journalist, and screenwriter known for her memoir "Your Voice in My Head" and her work in both literature and film.
-
D.
Bridget Carswell
Bridget Carswell was the mother of the 17th-century English politician and noted parliamentary leader Sir John Eliot.
-
E.
Angela Thorne
Angela Thorne was a British actress best known for her stage work and for television roles in series such as "To the Manor Born."
- 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: Fiona Griffin Triple: [Griffin, hasNotableBearer, Fiona Griffin]
Generated description
Fiona Griffin is a person notable enough to be recognized as a distinguished bearer of the Griffin surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fiona Griffin Target entity description: Fiona Griffin is a person notable enough to be recognized as a distinguished bearer of the Griffin surname.
-
A.
Fiona Black
Fiona Black is a notable individual recognized for achievements that have brought distinction to the surname Black.
-
B.
Felicity Rivers
Felicity Rivers is a character from Enid Blyton’s Malory Towers series, known as the younger sister of main protagonist Darrell Rivers and later a pupil at the same boarding school.
-
C.
Emma Forrest
Emma Forrest is a British-born novelist, journalist, and screenwriter known for her memoir "Your Voice in My Head" and her work in both literature and film.
-
D.
Bridget Carswell
Bridget Carswell was the mother of the 17th-century English politician and noted parliamentary leader Sir John Eliot.
-
E.
Angela Thorne
Angela Thorne was a British actress best known for her stage work and for television roles in series such as "To the Manor Born."
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff031869a481909911d251aa9ce3e8 |
completed | May 9, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03c0ebc081908b1a132256e9d004 |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:17 a.m.