Triple
T27864490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Ganim |
E704317
|
entity |
| Predicate | legalFormOfPunishment |
P99542
|
FINISHED |
| Object | imprisonment |
—
|
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: imprisonment | Statement: [Joe Ganim, legalFormOfPunishment, imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalFormOfPunishment Context triple: [Joe Ganim, legalFormOfPunishment, imprisonment]
-
A.
punishmentMethod
chosen
Indicates the method or means by which a punishment is carried out on an entity.
-
B.
aimOfPunishment
Indicates that a specified purpose or objective is the intended goal or rationale behind a particular act of punishment.
-
C.
deathPenaltyType
Indicates the specific method or form by which a death penalty is or was carried out.
-
D.
punishmentIncludes
Indicates that a specified punishment encompasses or contains another specified punitive measure as one of its components.
-
E.
deathPenaltyImposedFor
Indicates that a death penalty has been officially assigned as the punishment for a particular offense or action.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 27, 2026, 6:20 p.m.