Triple
T34347542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesco de' Pazzi |
E881476
|
entity |
| Predicate | victimTargeted |
P177410
|
FINISHED |
| Object | Lorenzo de' Medici |
—
|
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: Lorenzo de' Medici | Statement: [Francesco de' Pazzi, victimTargeted, Lorenzo de' Medici]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimTargeted Context triple: [Francesco de' Pazzi, victimTargeted, Lorenzo de' Medici]
-
A.
victimOrigin
Indicates that an entity is the place, group, or context from which a victim originates or is drawn.
-
B.
victimRole
Indicates that one entity participates in an event or situation specifically in the role of the victim or harmed party.
-
C.
victimWas
chosen
Indicates that one entity was the victim of an action, event, or harmful behavior carried out by another entity.
-
D.
victimParty
Indicates that one party is the victim or harmed side in an event, action, or situation involving another party.
-
E.
victimCategory
Indicates the classification or type of victim associated with an event, action, or harmful outcome.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:58 a.m.