Triple
T2436709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Sawalha |
E52977
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Julia Sawalha |
E52977
|
NE FINISHED |
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: Julia Sawalha | Statement: [Julia Sawalha, name, Julia Sawalha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Sawalha Context triple: [Julia Sawalha, name, Julia Sawalha]
-
A.
Julia Sawalha
chosen
Julia Sawalha is a British actress best known for her roles in television series such as "Absolutely Fabulous" and "Pride and Prejudice," as well as for voicing Ginger in the animated film "Chicken Run."
-
B.
Kate Durham
Kate Durham is an Australian artist and activist known for her work in visual arts and her advocacy on social justice and refugee issues.
-
C.
Sarah Nighy
Sarah Nighy is an actress known for her role in the British television drama "Gideon's Daughter."
-
D.
Ruth Jones
Ruth Jones is a Welsh actress, comedian, and writer best known as the co-creator and star of the television series "Gavin & Stacey."
-
E.
Tamsin Greig
Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf7085b88190938c4eefa4380970 |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.