Triple
T15710248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassian Elwes |
E380818
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Damian Elwes |
E704900
|
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: Damian Elwes | Statement: [Cassian Elwes, hasRelative, Damian Elwes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damian Elwes Context triple: [Cassian Elwes, hasRelative, Damian Elwes]
-
A.
Damian Elwes
chosen
Damian Elwes is a British contemporary artist known for his vibrant paintings that often depict the studios and creative worlds of other famous artists.
-
B.
Cassian Elwes
Cassian Elwes is a British-born film producer and talent agent known for his work on numerous independent films and collaborations with prominent directors and actors in Hollywood.
-
C.
John Leighton
John Leighton was a prominent 19th-century British artist and book cover designer known for his influential contributions to Victorian decorative arts and illustration.
-
D.
Ralph Macfadyen
Ralph Macfadyen is a child of British actor Matthew Macfadyen and his wife, actress Keeley Hawes.
-
E.
Clive Standen
Clive Standen is a British actor best known for his roles in historical and action television series such as Vikings and Taken.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8d8b648190842c635f2ae7bfa4 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87657528819098880c84f7cb1610 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:45 a.m.