Triple
T28903001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pina Auriemma |
E732998
|
entity |
| Predicate | involvedInPlotAgainst |
P170063
|
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: [Pina Auriemma, involvedInPlotAgainst, Maurizio Gucci]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedInPlotAgainst Context triple: [Pina Auriemma, involvedInPlotAgainst, Maurizio Gucci]
-
A.
hasPoliticalPlot
Indicates that the subject work contains a storyline or narrative element centered on politics, political events, or political power struggles.
-
B.
aimsToOverthrow
chosen
Indicates an intention or effort by one entity to remove another entity from power or authority, typically through forceful or subversive means.
-
C.
antagonistInvolved
Indicates that an antagonist participates in, influences, or is otherwise actively involved in the referenced event or situation.
-
D.
partnerInConflictWith
Indicates that two entities are engaged as opposing partners or sides within the same conflict or dispute.
-
E.
actsOfRebellion
Indicates actions that deliberately oppose, resist, or defy an established authority, rule, or controlling force.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 28, 2026, 8:04 a.m.