Triple
T26244629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Royal |
E656407
|
entity |
| Predicate | currentHolderGrantedYear |
P42969
|
FINISHED |
| Object | 1987 |
—
|
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: 1987 | Statement: [Princess Royal, currentHolderGrantedYear, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentHolderGrantedYear Context triple: [Princess Royal, currentHolderGrantedYear, 1987]
-
A.
yearHeld
Indicates the specific year during which an event, position, or status was held or took place.
-
B.
titleGrantedInYear
chosen
Indicates that a particular title was formally granted or conferred in a specified year.
-
C.
currentHolderAlso
Indicates that an entity currently holding something is also associated with an additional, related role, status, or holding.
-
D.
authorizationYear
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
E.
heldByBeforeYear
Indicates that one entity possessed or controlled another entity at some time prior to a specified year.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 26, 2026, 9:05 p.m.