Triple
T10737151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsin |
E253222
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Tamsin Cook
Tamsin Cook is an Australian competitive swimmer known for representing Australia in international freestyle events, including the Olympic Games.
|
E887166
|
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: Tamsin Cook | Statement: [Tamsin, associatedWith, Tamsin Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamsin Cook Context triple: [Tamsin, associatedWith, Tamsin Cook]
-
A.
Tamsin Carroll
Tamsin Carroll is an Australian actress and singer best known for her work in musical theatre in both Australia and the United Kingdom.
-
B.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
C.
Lucy Tait
Lucy Tait is the daughter of writer and philosopher Katharine Tait and a member of the extended Russell family lineage.
-
D.
Tessa Wheeler
Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
-
E.
Zoë Telford
Zoë Telford is a British actress known for her work in television dramas and comedies, including roles in series such as Sherlock and Teachers.
- 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: Tamsin Cook Triple: [Tamsin, associatedWith, Tamsin Cook]
Generated description
Tamsin Cook is an Australian competitive swimmer known for representing Australia in international freestyle events, including the Olympic Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamsin Cook Target entity description: Tamsin Cook is an Australian competitive swimmer known for representing Australia in international freestyle events, including the Olympic Games.
-
A.
Tamsin Carroll
Tamsin Carroll is an Australian actress and singer best known for her work in musical theatre in both Australia and the United Kingdom.
-
B.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
C.
Lucy Tait
Lucy Tait is the daughter of writer and philosopher Katharine Tait and a member of the extended Russell family lineage.
-
D.
Tessa Wheeler
Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
-
E.
Zoë Telford
Zoë Telford is a British actress known for her work in television dramas and comedies, including roles in series such as Sherlock and Teachers.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84932abc8190907c32720e35442e |
completed | April 14, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.