Triple
T16187777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gweneth Lloyd |
E392853
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gweneth Lloyd |
E392853
|
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: Gweneth Lloyd | Statement: [Gweneth Lloyd, name, Gweneth Lloyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gweneth Lloyd Context triple: [Gweneth Lloyd, name, Gweneth Lloyd]
-
A.
Gweneth Lloyd
chosen
Gweneth Lloyd was a British-born Canadian dancer, choreographer, and teacher best known as a co-founder and key early artistic leader of what became the Royal Winnipeg Ballet.
-
B.
Gweneth Howarth
Gweneth Howarth was the second wife of physicist Richard Feynman, with whom she shared much of his later personal life.
-
C.
Annes Elwy
Annes Elwy is a Welsh actress known for her work in British television and film, including a prominent role in the 2017 BBC adaptation of "Little Women."
-
D.
Gwyneth Jones
Gwyneth Jones is a British science fiction and fantasy author known for her intellectually challenging, feminist-themed works and multiple award-winning novels.
-
E.
Bethan Roberts
Bethan Roberts is a British novelist best known for her critically acclaimed works of literary fiction, including the novel that inspired the film "My Policeman."
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e220630db481908a0c7f7170f20c5f |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0750f08190a2fce65124d8dcc0 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.