Triple
T10052708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Seymour, 1st Baron Seymour of Sudeley |
E208784
|
entity |
| Predicate | titleCreationYear |
P87128
|
FINISHED |
| Object | 1547 |
—
|
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: 1547 | Statement: [Thomas Seymour, 1st Baron Seymour of Sudeley, titleCreationYear, 1547]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCreationYear Context triple: [Thomas Seymour, 1st Baron Seymour of Sudeley, titleCreationYear, 1547]
-
A.
yearTitleCreated
chosen
Indicates the year in which the referenced title (such as a work, document, or creative piece) was originally created.
-
B.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
-
C.
EuroTitleYear
Indicates the year in which an entity received or held a specific European title or championship.
-
D.
compositionYear
Indicates the year in which a work (such as a piece of music, art, or literature) was originally created or composed.
-
E.
officeCreationYear
Indicates the calendar year in which an office was established or created.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf9135bc8190a48a2e5cbafca0cd |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:56 p.m.