Triple
T17363066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Howard, 2nd Duke of Norfolk |
E422116
|
entity |
| Predicate | restoredToTitle |
P73249
|
FINISHED |
| Object | Earl of Surrey in 1489 |
—
|
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: Earl of Surrey in 1489 | Statement: [Thomas Howard, 2nd Duke of Norfolk, restoredToTitle, Earl of Surrey in 1489]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restoredToTitle Context triple: [Thomas Howard, 2nd Duke of Norfolk, restoredToTitle, Earl of Surrey in 1489]
-
A.
titleRestored
chosen
Indicates that a previously held title or designation has been reinstated to an entity after having been removed, lost, or suspended.
-
B.
titleRevived
Indicates that a previously discontinued or inactive title has been brought back into use or publication.
-
C.
regainedTitleFrom
Indicates that an entity has recovered a previously held title or position from another entity who had taken or held it in the interim.
-
D.
restored
Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
-
E.
retitledAs
Indicates that an entity has been given a new title or name, replacing or supplementing its original one.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4e3c3481909dfaa00334c5010e |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.