Triple
T22481870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamasin Day-Lewis |
E555785
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tamasin Day-Lewis |
—
|
NE NERFINISHED |
How this triple was built (2 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: Tamasin Day-Lewis | Statement: [Tamasin Day-Lewis, name, Tamasin Day-Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamasin Day-Lewis Context triple: [Tamasin Day-Lewis, name, Tamasin Day-Lewis]
-
A.
Tamasin Day-Lewis
chosen
Tamasin Day-Lewis is a British food writer, television chef, and documentary filmmaker known for her cookbooks and culinary programs.
-
B.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
C.
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.
-
D.
Emily Mortimer
Emily Mortimer is a British actress known for her versatile film and television roles, including performances in projects like "Mary Poppins Returns," "Match Point," and "The Newsroom."
-
E.
Jemma Redgrave
Jemma Redgrave is a British actress best known for her work in television dramas and for playing prominent roles in long-running series such as Doctor Who.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c397b248190b36c2fbfa6489693 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.