Triple
T2692932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durkan |
E58445
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Catherine Durkan
Catherine Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
|
E310604
|
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: Catherine Durkan | Statement: [Durkan, hasNotableBearer, Catherine Durkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Durkan Context triple: [Durkan, hasNotableBearer, Catherine Durkan]
-
A.
Anne Durkan
Anne Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
-
B.
Victoria Tennant
Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
-
C.
Lara Pulver
Lara Pulver is a British actress known for her roles in television series such as "Sherlock" and "Spooks," as well as various film and stage productions.
-
D.
Joanna Blunt
Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
-
E.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
- 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: Catherine Durkan Triple: [Durkan, hasNotableBearer, Catherine Durkan]
Generated description
Catherine Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catherine Durkan Target entity description: Catherine Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
-
A.
Anne Durkan
Anne Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
-
B.
Victoria Tennant
Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
-
C.
Lara Pulver
Lara Pulver is a British actress known for her roles in television series such as "Sherlock" and "Spooks," as well as various film and stage productions.
-
D.
Joanna Blunt
Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
-
E.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0dd97c81909a60cf200f57c087 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055bd41108190920b7397c16d15f5 |
completed | March 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69b05d246a60819088510c8fa87402c2 |
completed | March 10, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b062a6241c81909f3217a4a33aa4c6 |
completed | March 10, 2026, 6:27 p.m. |
Created at: March 6, 2026, 9:54 p.m.