Triple
T33540778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severinus de Monzambano Veronensis |
E859063
|
entity |
| Predicate | bearerInfluencedBy |
P87217
|
FINISHED |
| Object | Hugo Grotius |
—
|
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: Hugo Grotius | Statement: [Severinus de Monzambano Veronensis, bearerInfluencedBy, Hugo Grotius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerInfluencedBy Context triple: [Severinus de Monzambano Veronensis, bearerInfluencedBy, Hugo Grotius]
-
A.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
-
B.
wereInfluencedBy
chosen
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
C.
brokeredUnderInfluenceOf
Indicates that an agreement, deal, or arrangement was brokered while one or more involved parties were under the influence of another party or factor that significantly affected their decision-making.
-
D.
influenceOf
Indicates that one entity affects, shapes, or alters the state, behavior, or properties of another entity.
-
E.
incorporatesInfluence
Indicates that one entity integrates or absorbs the influence, ideas, or characteristics of another into itself.
- 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: May 1, 2026, 1:39 a.m.