Triple
T4557896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Talbot, 1st Earl of Tyrconnell |
E120522
|
entity |
| Predicate | createdViscountIn |
P57660
|
FINISHED |
| Object | 1685 |
—
|
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: 1685 | Statement: [Richard Talbot, 1st Earl of Tyrconnell, createdViscountIn, 1685]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdViscountIn Context triple: [Richard Talbot, 1st Earl of Tyrconnell, createdViscountIn, 1685]
-
A.
createdMarquess
Indicates that one entity formally established or granted the noble title of marquess to another entity.
-
B.
createdBaronOrBaronessOf
Indicates that one entity granted or established the noble title of baron or baroness for another entity.
-
C.
createdDukeOfClarence
Indicates the relationship in which one entity formally granted or established the noble title "Duke of Clarence" for another entity.
-
D.
createdEarlBy
Indicates that an entity was granted or established as an earl by a specific creator or authority.
-
E.
createdBaronet
Indicates that one entity formally established or granted a baronetcy title to another entity.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58163e6081909d5a3aae12c42a00 |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:09 p.m.