Triple
T25121036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thistle and the Rose |
E629266
|
entity |
| Predicate | writtenForEvent |
P157947
|
FINISHED |
| Object | marriage of James IV of Scotland and Margaret Tudor of England |
—
|
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 of James IV of Scotland and Margaret Tudor of England | Statement: [The Thistle and the Rose, writtenForEvent, marriage of James IV of Scotland and Margaret Tudor of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenForEvent Context triple: [The Thistle and the Rose, writtenForEvent, marriage of James IV of Scotland and Margaret Tudor of England]
-
A.
writesAboutEvent
Indicates that an entity creates written content whose subject is a particular event.
-
B.
writtenAtEvent
Indicates that a writing or inscription activity occurred during or in connection with a specific event.
-
C.
writtenDuring
Indicates that the creation or authorship of something took place within a specified time period or historical event.
-
D.
writtenBefore
Indicates that one written work was created or completed earlier in time than another written work.
-
E.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465cbc8e08190b7c35e36a94ea703 |
completed | May 1, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:28 a.m.