Triple
T18337071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Bonner |
E439299
|
entity |
| Predicate | deprivedOfSee |
P28678
|
FINISHED |
| Object | 1549 |
—
|
LITERAL 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: 1549 | Statement: [Edmund Bonner, deprivedOfSee, 1549]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deprivedOfSee Context triple: [Edmund Bonner, deprivedOfSee, 1549]
-
A.
deprivedOf
Indicates that an entity has had something taken away or withheld, resulting in a lack or absence of that thing.
-
B.
blinded
Indicates that one entity causes another to lose the ability to see, either temporarily or permanently.
-
C.
blindedBy
Indicates that one entity causes another to lose the ability to see or perceive clearly, either literally or metaphorically.
-
D.
isSeeOf
chosen
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
-
E.
didNotLiveToSee
Indicates that one entity died before a particular event or state involving another entity occurred, and therefore never witnessed it.
- F. None of above.
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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ece387881909a5da0aa4370489c |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.