Triple
T455423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanti! |
E7222
|
entity |
| Predicate | editorialRoleOfBenitoMussolini |
P4868
|
FINISHED |
| Object | editor-in-chief |
—
|
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: editor-in-chief | Statement: [Avanti!, editorialRoleOfBenitoMussolini, editor-in-chief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorialRoleOfBenitoMussolini Context triple: [Avanti!, editorialRoleOfBenitoMussolini, editor-in-chief]
-
A.
notableCommanderAxis
Indicates that the subject entity had a notable military commander role or position on the Axis side in a conflict or war.
-
B.
lastFascistRegimeIn
Indicates that a given regime is the most recent fascist regime to have existed in a specified place or jurisdiction.
-
C.
hasChiefExecutiveRole
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
D.
belligerentLeader
Indicates that an entity serves as a leader or authority figure of a party engaged in a conflict, war, or hostile confrontation.
-
E.
preWorldWarIIRole
chosen
Indicates the role, position, or function an entity held or performed prior to the onset of World War II.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef9f772c8190863399c5ee1378fe |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede4de008190b5a6c159e741522e |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.