Triple
T22935522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Dale |
E569568
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Anthony Hope |
—
|
NE NERFINISHED |
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: Anthony Hope | Statement: [Simon Dale, author, Anthony Hope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Hope Context triple: [Simon Dale, author, Anthony Hope]
-
A.
Anthony Hope
chosen
Anthony Hope was a British novelist and playwright best known for his swashbuckling adventure novel "The Prisoner of Zenda," which became a classic of romantic adventure fiction.
-
B.
Gerald Beresford
Gerald Beresford is the idealized, physically perfect protagonist of the 1937 romantic comedy film "The Perfect Specimen."
-
C.
Richard Llewellyn
Richard Llewellyn was a Welsh novelist best known for his 1939 work "How Green Was My Valley," a classic depiction of life in a South Wales mining community.
-
D.
Peter Glenville
Peter Glenville was a British theatre and film director and producer known for his acclaimed stage and screen adaptations of literary and historical works.
-
E.
R. D. Blackmore
R. D. Blackmore was a 19th-century English novelist best known for his romantic historical novel "Lorna Doone."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181350c7881908a72dc7a30e1aaff |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.