Triple
T16074372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorna Doone |
E389943
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | John Ridd |
E1192261
|
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 Ridd | Statement: [Lorna Doone, character, John Ridd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ridd Context triple: [Lorna Doone, character, John Ridd]
-
A.
John Ridd
chosen
John Ridd is the steadfast West Country farmer and protagonist of R.D. Blackmore’s novel "Lorna Doone," known for his courage, loyalty, and enduring love for Lorna.
-
B.
Isaac Booth
Isaac Booth was an architect best known for designing the landmark Wainhouse Tower in Halifax, England.
-
C.
Samuel Wake
Samuel Wake was a British sea captain after whom the remote Pacific atoll Wake Island was named.
-
D.
James Stoker
James Stoker is a person known primarily for sharing the surname associated with notable figures such as author Bram Stoker.
-
E.
William Freake
William Freake was a prominent 19th-century British property developer and builder known for creating large parts of South Kensington and other affluent areas of London.
- 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_69fff299f14c8190a5f88754b6a78b1f |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.