Triple
T20897931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myfanwy Edwards Roberts |
E514590
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Myfanwy Edwards Roberts |
E514590
|
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: Myfanwy Edwards Roberts | Statement: [Myfanwy Edwards Roberts, name, Myfanwy Edwards Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myfanwy Edwards Roberts Context triple: [Myfanwy Edwards Roberts, name, Myfanwy Edwards Roberts]
-
A.
Myfanwy Edwards Roberts
chosen
Myfanwy Edwards Roberts is the mother of British-Australian actress Naomi Watts.
-
B.
Sian Bevan
Sian Bevan is a notable individual recognized for achievements significant enough to be associated with the surname Bevan.
-
C.
Sarah Mellon
Sarah Mellon was an American heiress and philanthropist from the prominent Mellon banking family.
-
D.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
E.
Ethel Wales
Ethel Wales was an American character actress of the silent and early sound film era, known for her supporting roles in numerous Hollywood productions.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f826788190b11008cc94b2a4e4 |
completed | April 21, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fbc0ba081909ab6e1fee7f88a14 |
completed | May 17, 2026, 1:54 a.m. |
Created at: April 16, 2026, 12:47 p.m.