Triple
T10503433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yates |
E247726
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Fiona Yates
Fiona Yates is a notable individual who shares the surname Yates, recognized enough to be specifically cited as a bearer of the name.
|
E881344
|
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 Yates | Statement: [Yates, hasNotableBearer, Fiona Yates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiona Yates Context triple: [Yates, hasNotableBearer, Fiona Yates]
-
A.
Fiona Hartnett
Fiona Hartnett is a notable individual recognized for achievements significant enough to be distinctly associated with the Hartnett surname.
-
B.
Fiona Caldwell
Fiona Caldwell is a television executive producer known for her work on the documentary travel series "Great American Railroad Journeys."
-
C.
Fiona Powrie
Fiona Powrie is a British immunologist renowned for her pioneering research on the immune regulation of intestinal inflammation and the role of regulatory T cells in gut homeostasis.
-
D.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
-
E.
Fiona Black
Fiona Black is a notable individual recognized for achievements that have brought distinction to the surname Black.
- 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 Yates Triple: [Yates, hasNotableBearer, Fiona Yates]
Generated description
Fiona Yates is a notable individual who shares the surname Yates, recognized enough to be specifically cited as a bearer of the name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fiona Yates Target entity description: Fiona Yates is a notable individual who shares the surname Yates, recognized enough to be specifically cited as a bearer of the name.
-
A.
Fiona Hartnett
Fiona Hartnett is a notable individual recognized for achievements significant enough to be distinctly associated with the Hartnett surname.
-
B.
Fiona Caldwell
Fiona Caldwell is a television executive producer known for her work on the documentary travel series "Great American Railroad Journeys."
-
C.
Fiona Powrie
Fiona Powrie is a British immunologist renowned for her pioneering research on the immune regulation of intestinal inflammation and the role of regulatory T cells in gut homeostasis.
-
D.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
-
E.
Fiona Black
Fiona Black is a notable individual recognized for achievements that have brought distinction to the surname Black.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099d62408190a6c6884411c6e423 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacad75b8819090657ab4335cebbc |
completed | April 12, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 6, 2026, 12:25 p.m.