Triple
T15174575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Douglas, 14th Earl of Morton |
E362571
|
entity |
| Predicate | heldTitleInCentury |
P73847
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [James Douglas, 14th Earl of Morton, heldTitleInCentury, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldTitleInCentury Context triple: [James Douglas, 14th Earl of Morton, heldTitleInCentury, 18th century]
-
A.
titleInheritedInCentury
Indicates that a title was passed down or inherited during a specified century.
-
B.
namedAfterCentury
Indicates that something is named after a specific century, typically reflecting that century’s time period or characteristics.
-
C.
ownedUntilCentury
Indicates that an entity possessed or held ownership of another entity up to, but not necessarily beyond, a specified century.
-
D.
aristocraticTitleHeldTo
chosen
Indicates that one entity holds or bears an aristocratic or noble title in relation to another entity (such as a person, family, or jurisdiction).
-
E.
reachedRoyalStatusInCentury
Indicates that an entity attained royal status or became recognized as royalty during a specified century.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0066236d481909e8ac47f496861ad |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.