Triple
T10737152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsin |
E253222
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Tamsin Mather
Tamsin Mather is a British volcanologist and professor known for her research on volcanic processes, gas emissions, and their impact on the Earth system.
|
E888890
|
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 Mather | Statement: [Tamsin, associatedWith, Tamsin Mather]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamsin Mather Context triple: [Tamsin, associatedWith, Tamsin Mather]
-
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.
Tamsin West
Tamsin West is an Australian actress best known for her role as Linda Twist in the first season of the children's television series "Round the Twist."
-
D.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
E.
Tamsin Cook
Tamsin Cook is an Australian competitive swimmer known for representing Australia in international freestyle events, including the Olympic Games.
- 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 Mather Triple: [Tamsin, associatedWith, Tamsin Mather]
Generated description
Tamsin Mather is a British volcanologist and professor known for her research on volcanic processes, gas emissions, and their impact on the Earth system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamsin Mather Target entity description: Tamsin Mather is a British volcanologist and professor known for her research on volcanic processes, gas emissions, and their impact on the Earth system.
-
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.
Tamsin West
Tamsin West is an Australian actress best known for her role as Linda Twist in the first season of the children's television series "Round the Twist."
-
D.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
E.
Tamsin Cook
Tamsin Cook is an Australian competitive swimmer known for representing Australia in international freestyle events, including the Olympic Games.
- 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_69deb0a03a1481908edb933b1613a027 |
completed | April 14, 2026, 9:24 p.m. |
| NEDg | Description generation | batch_69deb6942054819098cb119c6bf7b3c7 |
completed | April 14, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec259680c819087f14189042ec190 |
completed | April 14, 2026, 10:40 p.m. |
Created at: April 8, 2026, 9:14 p.m.