Triple
T1912924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Douglas, Duchess of Queensberry |
E38149
|
entity |
| Predicate | titleHeldUntil |
P11030
|
FINISHED |
| Object | 1777 |
—
|
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: 1777 | Statement: [Catherine Douglas, Duchess of Queensberry, titleHeldUntil, 1777]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHeldUntil Context triple: [Catherine Douglas, Duchess of Queensberry, titleHeldUntil, 1777]
-
A.
heldTitleUntil
chosen
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
-
B.
titleHeldIn
Indicates that a particular title or position is held within a specified organization, jurisdiction, or contextual domain.
-
C.
titleHolderSince
Indicates the entity that has held a particular title or position continuously from a specified starting time.
-
D.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
-
E.
laterTitleHolder
Indicates that one entity is a subsequent holder of a particular title or position previously held by another entity.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.