Triple
T18337070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Bonner |
E439299
|
entity |
| Predicate | restoredToSee |
P121235
|
FINISHED |
| Object | 1553 |
—
|
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: 1553 | Statement: [Edmund Bonner, restoredToSee, 1553]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restoredToSee Context triple: [Edmund Bonner, restoredToSee, 1553]
-
A.
restored
Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
-
B.
laterRestored
chosen
Indicates that something previously altered, damaged, or removed was subsequently brought back to its earlier state or condition.
-
C.
restoredBy
Indicates that an entity has been returned to a previous or improved state through the actions or intervention of another entity.
-
D.
restoredRight
Indicates that a previously lost, removed, or suspended right has been returned to its holder.
-
E.
restoredInPart
Indicates that something has been brought back to a previous or improved state, but only partially rather than fully.
- 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.