Triple
T17986972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Nancy |
E430260
|
entity |
| Predicate | RenéIIRole |
P58982
|
FINISHED |
| Object | Duke of Lorraine and leader of the allied army |
—
|
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: Duke of Lorraine and leader of the allied army | Statement: [Battle of Nancy, RenéIIRole, Duke of Lorraine and leader of the allied army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RenéIIRole Context triple: [Battle of Nancy, RenéIIRole, Duke of Lorraine and leader of the allied army]
-
A.
RexRole
Indicates a role or function that an entity holds within a specific context, system, or structure.
-
B.
roleInReunionArenaProject
Indicates that an entity holds a specific role or responsibility within the Reunion Arena project.
-
C.
regnalRole
chosen
Indicates the specific official capacity or position a monarch holds or held during their reign.
-
D.
roleInBladeII
Indicates that an entity has a specific role or participation in the movie "Blade II."
-
E.
deFactoRole
Indicates that an entity effectively functions in a role or capacity in practice, even if that role is not formally or officially assigned.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29c6d0881909d450d2561d532a6 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.