Triple
T18556569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Nettles |
E453519
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Emma Nettles
Emma Nettles is the daughter of British actor John Nettles, known for his roles in television series such as "Bergerac" and "Midsomer Murders."
|
E1334221
|
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: Emma Nettles | Statement: [John Nettles, child, Emma Nettles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Nettles Context triple: [John Nettles, child, Emma Nettles]
-
A.
Emily Williamson
Emily Williamson was a pioneering British conservationist who co-founded what became the Royal Society for the Protection of Birds, helping launch the modern bird protection movement.
-
B.
Laura Bristow
Laura Bristow is the assumed American identity of Russian spy Irina Derevko in the television series "Alias."
-
C.
Sarah Etheridge
Sarah Etheridge was the wife of prominent American financier and U.S. Secretary of the Treasury Lyman J. Gage.
-
D.
Kat Barton
Kat Barton is a key supporting character who aids the main protagonist in their journey, often providing crucial assistance and companionship.
-
E.
Beth Dawes
Beth Dawes is a married suburban woman in the television series "Mad Men" who becomes romantically involved with advertising executive Pete Campbell.
- 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: Emma Nettles Triple: [John Nettles, child, Emma Nettles]
Generated description
Emma Nettles is the daughter of British actor John Nettles, known for his roles in television series such as "Bergerac" and "Midsomer Murders."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Nettles Target entity description: Emma Nettles is the daughter of British actor John Nettles, known for his roles in television series such as "Bergerac" and "Midsomer Murders."
-
A.
Emily Williamson
Emily Williamson was a pioneering British conservationist who co-founded what became the Royal Society for the Protection of Birds, helping launch the modern bird protection movement.
-
B.
Laura Bristow
Laura Bristow is the assumed American identity of Russian spy Irina Derevko in the television series "Alias."
-
C.
Sarah Etheridge
Sarah Etheridge was the wife of prominent American financier and U.S. Secretary of the Treasury Lyman J. Gage.
-
D.
Kat Barton
Kat Barton is a key supporting character who aids the main protagonist in their journey, often providing crucial assistance and companionship.
-
E.
Beth Dawes
Beth Dawes is a married suburban woman in the television series "Mad Men" who becomes romantically involved with advertising executive Pete Campbell.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53806d2a08190963f4d8e927a247f |
completed | April 19, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d67c1ac819096dc2f90ea547ea0 |
completed | May 13, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_6a050e224e4881908ad55301bda567dc |
completed | May 13, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050ecc33e48190bc28430a6a771492 |
completed | May 13, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:39 a.m.