Triple
T455446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanti! |
E7222
|
entity |
| Predicate | predecessorRoleForBenitoMussolini |
P14000
|
FINISHED |
| Object | socialist journalist |
—
|
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: socialist journalist | Statement: [Avanti!, predecessorRoleForBenitoMussolini, socialist journalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorRoleForBenitoMussolini Context triple: [Avanti!, predecessorRoleForBenitoMussolini, socialist journalist]
-
A.
predecessorAsPrimeMinister
Indicates that one person previously held the office of Prime Minister immediately before another person.
-
B.
predecessorAsHolyRomanEmperor
Indicates that one entity previously held the position of Holy Roman Emperor immediately before the other entity.
-
C.
predecessorInOfficeOfVictim
Indicates that the subject held a particular office or position immediately before the victim did.
-
D.
formerPoliticalEntity
Indicates that an entity was once a political entity (such as a state, country, or polity) but no longer exists in that political form.
-
E.
notableCommanderAxis
Indicates that the subject entity had a notable military commander role or position on the Axis side in a conflict or war.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a2eeeb85f881909580a6a86332b4a5 |
completed | Feb. 28, 2026, 1:34 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.