Triple
T24856426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Gravina |
E622040
|
entity |
| Predicate | linkedToMilitaryFigure |
P22805
|
FINISHED |
| Object | Federico Carlos Gravina y Nápoli |
—
|
NE NERFINISHED |
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: Federico Carlos Gravina y Nápoli | Statement: [Prince of Gravina, linkedToMilitaryFigure, Federico Carlos Gravina y Nápoli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToMilitaryFigure Context triple: [Prince of Gravina, linkedToMilitaryFigure, Federico Carlos Gravina y Nápoli]
-
A.
militaryRepresentationShare
Indicates the proportion of military representation one entity holds or provides in relation to another or within a larger collective.
-
B.
hasMilitaryAssociation
chosen
Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
-
C.
militaryPerson
Indicates that the subject is a member of the armed forces or serves in a formal military capacity.
-
D.
linkedHero
Indicates a relationship where one hero is associated or connected to another hero in a meaningful way.
-
E.
linkedFigure
Indicates that one figure is associated or connected to another figure, typically as a reference or related visual element.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 18, 2026, 5:21 a.m.