Triple
T11716473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Stewart, Countess of Mar |
E278510
|
entity |
| Predicate | titleHeldAs |
P100941
|
FINISHED |
| Object | suo jure countess |
—
|
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: suo jure countess | Statement: [Margaret Stewart, Countess of Mar, titleHeldAs, suo jure countess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHeldAs Context triple: [Margaret Stewart, Countess of Mar, titleHeldAs, suo jure countess]
-
A.
titleHeldThrough
Indicates that an entity holds or possesses a title by means of, or via the intermediary of, another entity or mechanism.
-
B.
titleHeldAfter
Indicates that one entity held a particular title or position after another entity, establishing a temporal succession in holding that title.
-
C.
titleHeldIn
Indicates that a particular title or position is held within a specified organization, jurisdiction, or contextual domain.
-
D.
titleHeldDuringPeriod
Indicates that an entity held a specific title or position for the duration of a given time period.
-
E.
titleHeldAtTimeOf
Indicates that an entity held a specific title or position during a particular time or time period.
- F. None of above. chosen
Provenance (4 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.