Triple
T10737155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsin |
E253222
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Tamsin Wilton
Tamsin Wilton was a British academic, writer, and pioneering lesbian feminist theorist known for her influential work on sexuality, gender, and queer studies.
|
E893117
|
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 Wilton | Statement: [Tamsin, associatedWith, Tamsin Wilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamsin Wilton Context triple: [Tamsin, associatedWith, Tamsin Wilton]
-
A.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
B.
Jane Tennant
Jane Tennant is the fictional Special Agent in Charge of the NCIS Pearl Harbor field office and the lead protagonist of the television series NCIS: Hawaiʻi.
-
C.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
D.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
E.
Madeleine Harris
Madeleine Harris is a British actress best known for playing Judy Brown in the family film "Paddington" and its sequel.
- 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 Wilton Triple: [Tamsin, associatedWith, Tamsin Wilton]
Generated description
Tamsin Wilton was a British academic, writer, and pioneering lesbian feminist theorist known for her influential work on sexuality, gender, and queer studies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamsin Wilton Target entity description: Tamsin Wilton was a British academic, writer, and pioneering lesbian feminist theorist known for her influential work on sexuality, gender, and queer studies.
-
A.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
B.
Jane Tennant
Jane Tennant is the fictional Special Agent in Charge of the NCIS Pearl Harbor field office and the lead protagonist of the television series NCIS: Hawaiʻi.
-
C.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
D.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
E.
Madeleine Harris
Madeleine Harris is a British actress best known for playing Judy Brown in the family film "Paddington" and its sequel.
- 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_69e2162f1f648190b325c7e7647b543e |
completed | April 17, 2026, 11:14 a.m. |
| NEDg | Description generation | batch_69e21d860d288190855ffbe60df50df9 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21f09be508190a7c497a7680cb59e |
completed | April 17, 2026, 11:52 a.m. |
Created at: April 8, 2026, 9:14 p.m.