Triple
T35291579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dalrymple, 1st Earl of Stair |
E1019240
|
entity |
| Predicate | title created |
P38
|
FINISHED |
| Object | Earl of Stair in the Peerage of Scotland |
—
|
NE NERFINISHED |
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: Earl of Stair in the Peerage of Scotland | Statement: [John Dalrymple, 1st Earl of Stair, title created, Earl of Stair in the Peerage of Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: title created Context triple: [John Dalrymple, 1st Earl of Stair, title created, Earl of Stair in the Peerage of Scotland]
-
A.
titleCreation
Indicates that an entity is responsible for creating, originating, or authoring the title associated with another entity.
-
B.
titleCreationType
Indicates the manner or process by which a title was generated, assigned, or established for an entity.
-
C.
createdTitleBy
Indicates that a title (such as a work, document, or creative piece) was created by a specific agent or creator.
-
D.
resultedInCreationOfTitle
Indicates that one event, action, or circumstance caused or led directly to the establishment or creation of a specific title.
-
E.
title
chosen
Indicates that one entity serves as the formal name or designation of 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:03 p.m.