Triple
T13561064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Engleby |
E323908
|
entity |
| Predicate | protagonistOf |
P9202
|
FINISHED |
| Object | Engleby |
E60541
|
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: Engleby | Statement: [Mike Engleby, protagonistOf, Engleby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engleby Context triple: [Mike Engleby, protagonistOf, Engleby]
-
A.
Engleby
chosen
Engleby is a psychological novel by Sebastian Faulks that follows the unsettling, introspective narrative of a socially isolated Cambridge student who may be involved in a mysterious disappearance.
-
B.
Appleby
Appleby is a surname of English origin borne by various notable individuals, including American actress Shiri Appleby.
-
C.
Northenden
Northenden is a suburban area of Manchester, England, situated on the River Mersey in the south of the city.
-
D.
Ramsgreave
Ramsgreave is a small village and civil parish in Lancashire, England, situated on the outskirts of Blackburn in the Ribble Valley district.
-
E.
Liversedge
Liversedge is a town in West Yorkshire, England, known historically for its role in the textile industry and the Luddite movement.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff5219081909cf60423e79d278f |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb1ef508190ab587bd2aa34795b |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.