Triple
T15283428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Kerensky |
E365330
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Lydia Tritton |
E365330
|
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: Lydia Tritton | Statement: [Alexander Kerensky, spouse, Lydia Tritton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lydia Tritton Context triple: [Alexander Kerensky, spouse, Lydia Tritton]
-
A.
Lydia Tritton
chosen
Lydia Tritton was an Australian journalist and public speaker best known as the second wife and later widow of Russian revolutionary leader Alexander Kerensky.
-
B.
Lydia Hampson
Lydia Hampson is a British television producer best known for her work on acclaimed series such as Phoebe Waller-Bridge’s Fleabag.
-
C.
Lydia Knott
Lydia Knott was an American character actress of the silent and early sound film era, known for her supporting roles in numerous Hollywood productions of the 1910s and 1920s.
-
D.
Lydia Beardsall
Lydia Beardsall is the birth name of Lydia Beardsall Lawrence, an individual known primarily in relation to that married identity.
-
E.
Lydia Leonard
Lydia Leonard is a British actress known for her work on stage and screen, including acclaimed performances in productions such as "Wolf Hall" and various West End and television roles.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21945b60819098ea91d9693cb8e3 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:15 a.m.