Triple
T431919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Normandy |
E9730
|
entity |
| Predicate | titleRetainedAfter |
P13879
|
FINISHED |
| Object | union of English and Scottish crowns |
—
|
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: union of English and Scottish crowns | Statement: [Duke of Normandy, titleRetainedAfter, union of English and Scottish crowns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleRetainedAfter Context triple: [Duke of Normandy, titleRetainedAfter, union of English and Scottish crowns]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
retitledAs
Indicates that an entity has been given a new title or name, replacing or supplementing its original one.
-
C.
receivedTitle
Indicates that an entity has been formally granted or awarded a specific title or honor.
-
D.
titleDerivedFrom
Indicates that the title of one entity is obtained or adapted from another entity.
-
E.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
- F. None of above. chosen
Provenance (4 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eef07e748190b05392778f3de980 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd9264c8190b92f9a50348e5541 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb93584819082f23eff13e17c4f |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.