Triple
T8596186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Bailloch Stewart |
E203551
|
entity |
| Predicate | title acquired through |
P34204
|
FINISHED |
| Object | marriage to Mary of Menteith |
—
|
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: marriage to Mary of Menteith | Statement: [Walter Bailloch Stewart, title acquired through, marriage to Mary of Menteith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: title acquired through Context triple: [Walter Bailloch Stewart, title acquired through, marriage to Mary of Menteith]
-
A.
titleAcquiredBy
chosen
Indicates that a particular title, rank, or designation has been obtained or earned by a specific entity.
-
B.
acquiredFor
Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
-
C.
acquiredWith
Indicates that one entity was obtained, purchased, or gained together with or by means of another entity.
-
D.
acquisitionResultedIn
Indicates that an acquisition event led to a particular outcome, state, or consequence for the involved entities.
-
E.
acquiredRightsTo
Indicates that one entity has obtained legal or contractual ownership, control, or usage rights over something 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c945dc8190a313c61c0db46187 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.