Triple
T14441896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Tyne Daly |
E358101
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tyne
Tyne is a feminine given name most notably borne by American actress Tyne Daly.
|
E1103749
|
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: Tyne | Statement: [Ellen Tyne Daly, givenName, Tyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyne Context triple: [Ellen Tyne Daly, givenName, Tyne]
-
A.
River Tyne
The River Tyne is a river in southeast Scotland that flows through Midlothian and East Lothian before reaching the North Sea near Dunbar.
-
B.
River Tyne
The River Tyne is a major river in North East England that flows through Newcastle upon Tyne and Gateshead before reaching the North Sea.
-
C.
Tyne and Tees
Tyne and Tees was the nickname of the British 50th (Northumbrian) Infantry Division, a renowned World War II formation noted for its role in major campaigns including the Normandy landings.
-
D.
Tyne estuary
The Tyne estuary is the tidal lower reach of the River Tyne in northeast England, forming an important natural harbor and industrial waterway between Newcastle upon Tyne and the North Sea.
-
E.
Severn
The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
- 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: Tyne Triple: [Ellen Tyne Daly, givenName, Tyne]
Generated description
Tyne is a feminine given name most notably borne by American actress Tyne Daly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tyne Target entity description: Tyne is a feminine given name most notably borne by American actress Tyne Daly.
-
A.
River Tyne
The River Tyne is a river in southeast Scotland that flows through Midlothian and East Lothian before reaching the North Sea near Dunbar.
-
B.
River Tyne
The River Tyne is a major river in North East England that flows through Newcastle upon Tyne and Gateshead before reaching the North Sea.
-
C.
Tyne and Tees
Tyne and Tees was the nickname of the British 50th (Northumbrian) Infantry Division, a renowned World War II formation noted for its role in major campaigns including the Normandy landings.
-
D.
Tyne estuary
The Tyne estuary is the tidal lower reach of the River Tyne in northeast England, forming an important natural harbor and industrial waterway between Newcastle upon Tyne and the North Sea.
-
E.
Severn
The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a39d55c8190bbc7b76fab6b8b39 |
completed | May 8, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69fd7ad02938819089b7d9a83c9006d3 |
completed | May 8, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7b1757e88190a90c671ffe6ce978 |
completed | May 8, 2026, 5:56 a.m. |
Created at: April 10, 2026, 1:18 a.m.