Triple
T24327922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucilla (Gladiator) |
E613151
|
entity |
| Predicate | blackmailedThrough |
P155737
|
FINISHED |
| Object | her son Lucius |
—
|
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: her son Lucius | Statement: [Lucilla (Gladiator), blackmailedThrough, her son Lucius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blackmailedThrough Context triple: [Lucilla (Gladiator), blackmailedThrough, her son Lucius]
-
A.
blackmailedFor
Indicates that one entity coerces another into doing or not doing something by threatening to reveal damaging or sensitive information about them.
-
B.
blackmails
Indicates that one entity coerces another by threatening to reveal damaging or sensitive information unless specific demands are met.
-
C.
hasBlackmailPlot
Indicates that one entity possesses or is involved in a scheme to coerce another entity using compromising or threatening information.
-
D.
ransom
Indicates demanding payment or concessions in exchange for releasing a person, object, or information held under threat or coercion.
-
E.
bribedBy
Indicates that an entity has received a bribe from another entity, implying an exchange of value to influence the entity’s actions or decisions.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292eebf7081908ef50ef331ff88aa |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:54 a.m.