Triple
T8546524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley Pegden |
E202339
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Glenda Wilkinson |
E763464
|
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: Glenda Wilkinson | Statement: [Wesley Pegden, child, Glenda Wilkinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenda Wilkinson Context triple: [Wesley Pegden, child, Glenda Wilkinson]
-
A.
Glenda Wilkinson
chosen
Glenda Wilkinson is a relative of mathematician and probability theorist Wesley Pegden.
-
B.
Lorraine Adie
Lorraine Adie was a Scottish archaeologist and the mother of drummer and composer Stewart Copeland.
-
C.
Glenda May Jackson
Glenda May Jackson was an acclaimed English actress and Labour Party politician, renowned for her Oscar-winning film performances and later service as a Member of Parliament.
-
D.
Lara Bingle
Lara Bingle is an Australian model, media personality, and entrepreneur best known for her high-profile advertising campaigns and reality television appearances.
-
E.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe7511f8c819083d69fb6a0b55801 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfb9f4e2d881908fb539e842c20e8d |
completed | April 3, 2026, 1 p.m. |
Created at: March 30, 2026, 6:19 p.m.