Triple
T16074342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Doddridge Blackmore |
E389942
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | John Blackmore |
E1192254
|
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: John Blackmore | Statement: [Richard Doddridge Blackmore, father, John Blackmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Blackmore Context triple: [Richard Doddridge Blackmore, father, John Blackmore]
-
A.
John Blackmore
chosen
John Blackmore was the father of Victorian novelist Richard Doddridge Blackmore, best known as the author of "Lorna Doone."
-
B.
David Blackman
David Blackman is a film and television producer known for his executive production work on music-related documentaries and projects.
-
C.
Tim Blackmore
Tim Blackmore is a notable individual recognized for his contributions in his professional field, which have distinguished him among others sharing the Blackmore surname.
-
D.
Michael Blakemore
Michael Blakemore is a distinguished British-Australian theatre and film director and actor, renowned for his acclaimed work on both the London and Broadway stages.
-
E.
Jeremy Black
Jeremy Black is a British historian renowned for his prolific scholarship on military history, international relations, and the history of warfare.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c0e4388190b4b9b86e1c38f184 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8f12708190956f203a3e58e18b |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.