Triple
T17181363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of Newcastle-upon-Tyne |
E416989
|
entity |
| Predicate | titleHeldInOwnRightPossible |
P63227
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Duchess of Newcastle-upon-Tyne, titleHeldInOwnRightPossible, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHeldInOwnRightPossible Context triple: [Duchess of Newcastle-upon-Tyne, titleHeldInOwnRightPossible, yes]
-
A.
heldTitleInHerOwnRight
chosen
Indicates that a woman personally possessed and exercised a title or rank independently, rather than deriving it through a spouse or male relative.
-
B.
titleHolderCouldBe
Indicates that a particular entity is a possible or potential holder of a specified title or position.
-
C.
heldTitleUnder
Indicates that one entity possessed or occupied a particular title, rank, or office under the authority, jurisdiction, or auspices of another entity.
-
D.
titleHeldTo
Indicates that one entity holds or possesses a specific title in relation to another entity or context.
-
E.
titleHeldThrough
Indicates that an entity holds or possesses a title by means of, or via the intermediary of, another entity or mechanism.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc1187808190aeaa0d0e6487957e |
completed | April 18, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.