Triple
T24170461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benzino Napaloni |
E599112
|
entity |
| Predicate | politicalPositionInFiction |
P101621
|
FINISHED |
| Object | dictator of Bacteria |
—
|
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: dictator of Bacteria | Statement: [Benzino Napaloni, politicalPositionInFiction, dictator of Bacteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPositionInFiction Context triple: [Benzino Napaloni, politicalPositionInFiction, dictator of Bacteria]
-
A.
politicalAffiliationInFiction
Indicates a fictional character’s association or alignment with a political party, ideology, or movement within a narrative work.
-
B.
politicalPartyInFiction
Indicates that a political party appears or operates within a fictional work or fictional universe.
-
C.
positionInFiction
Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
-
D.
politicalRoleInPlot
chosen
Indicates that an entity holds a specific political function, position, or influence within the context of a particular plot or storyline.
-
E.
polityInFictionalWorld
Indicates that a political entity exists within, or is part of, a fictional world or universe.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.