Triple
T29077837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrizia Reggiani |
E735990
|
entity |
| Predicate | victimOfCrimeOrdered |
P168124
|
FINISHED |
| Object | Maurizio Gucci |
—
|
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: Maurizio Gucci | Statement: [Patrizia Reggiani, victimOfCrimeOrdered, Maurizio Gucci]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimOfCrimeOrdered Context triple: [Patrizia Reggiani, victimOfCrimeOrdered, Maurizio Gucci]
-
A.
victimsOfCrime
chosen
Indicates that the subject has suffered harm or loss as a result of a criminal act committed by the object.
-
B.
coVictim
Indicates that two or more entities are victims in the same harmful event or incident.
-
C.
allegedVictimOf
Indicates that one entity is claimed or reported to have been harmed, wronged, or victimized by another entity, without asserting that the claim is proven.
-
D.
honorsVictimOf
Indicates that one entity pays tribute or respect to another entity who has suffered harm, loss, or injustice.
-
E.
hasTypeOfVictims
Indicates that an entity is associated with victims of a specified type or category.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 10:24 a.m.