Triple
T20038713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Bonaparte |
E497350
|
entity |
| Predicate | legalStatusAfterVictorNoirKilling |
P121935
|
FINISHED |
| Object | acquitted by special high court |
—
|
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: acquitted by special high court | Statement: [Pierre Bonaparte, legalStatusAfterVictorNoirKilling, acquitted by special high court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAfterVictorNoirKilling Context triple: [Pierre Bonaparte, legalStatusAfterVictorNoirKilling, acquitted by special high court]
-
A.
perpetratorDeath
Indicates that the referenced individual is the one who caused or is responsible for another entity’s death.
-
B.
hasMurderVictimCharacter
Indicates that an entity (such as a work of fiction or event) includes or involves a character who is the victim of a murder.
-
C.
hasMannerOfDeathOfVictim
Indicates the specific way or circumstances in which the victim died in relation to the event or action being described.
-
D.
legalStatusAfterEvent
chosen
Indicates the legal condition or classification an entity has as a result of a specified event or occurrence.
-
E.
murderVictimOf
Indicates that one entity is the person who was killed by another entity in an act of murder.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e9e99c81909b7d50eac893c414 |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:36 p.m.