Triple
T3323161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Crimes and Punishments |
E69844
|
entity |
| Predicate | positionOnTorture |
P20160
|
FINISHED |
| Object | abolitionist |
—
|
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: abolitionist | Statement: [On Crimes and Punishments, positionOnTorture, abolitionist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnTorture Context triple: [On Crimes and Punishments, positionOnTorture, abolitionist]
-
A.
positionOnViolence
chosen
Indicates a stance, attitude, or policy that an entity holds regarding the use, justification, or acceptability of violence.
-
B.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
C.
methodOfPersecution
Indicates the specific means, technique, or process by which an act of persecution is carried out.
-
D.
positionOnFreedom
Indicates a stance or viewpoint an entity holds regarding the concept, extent, or conditions of freedom.
-
E.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13e6c288190805f8abcd3acc906 |
completed | March 8, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.