Triple
T31916907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucius Scribonius Libo (consul 16 AD) |
E814856
|
entity |
| Predicate | charge brought under law |
P77292
|
FINISHED |
| Object | maiestas (treason law) |
—
|
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: maiestas (treason law) | Statement: [Lucius Scribonius Libo (consul 16 AD), charge brought under law, maiestas (treason law)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charge brought under law Context triple: [Lucius Scribonius Libo (consul 16 AD), charge brought under law, maiestas (treason law)]
-
A.
legalCharge
Indicates that an authority has formally accused an entity of committing a specific legal offense or violation.
-
B.
crimeCharged
chosen
Indicates that legal authorities have formally accused an entity of committing a specific crime.
-
C.
chargeAgainstPerpetrator
Indicates that a formal legal accusation or charge has been brought against a specific perpetrator for an alleged offense.
-
D.
chargeJurisdiction
Indicates that an authority has the legal power or jurisdiction to bring or pursue charges in relation to a particular case or entity.
-
E.
crimeAccusation
Indicates that one entity formally accuses another entity of having committed a crime.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1ef9a84819092952e451b98987b |
completed | May 3, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: May 1, 2026, 12:02 a.m.