Triple
T18350890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Condemned Man |
E439663
|
entity |
| Predicate | knowsReasonForPunishment |
P131472
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [the Condemned Man, knowsReasonForPunishment, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowsReasonForPunishment Context triple: [the Condemned Man, knowsReasonForPunishment, false]
-
A.
reasonForPunishment
Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
-
B.
aimOfPunishment
Indicates that a specified purpose or objective is the intended goal or rationale behind a particular act of punishment.
-
C.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
-
D.
hasPunishment
Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
-
E.
authorizesPunishment
Indicates that one entity grants permission or legal authority for another entity to impose a punishment.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:37 a.m.