Triple
T14172686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln Burrows |
E351250
|
entity |
| Predicate | onDeathRow |
P97593
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lincoln Burrows, onDeathRow, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onDeathRow Context triple: [Lincoln Burrows, onDeathRow, true]
-
A.
deathRowIncarceration
chosen
Indicates that an individual is incarcerated in prison under a death sentence, awaiting execution.
-
B.
diedInCustodyOf
Indicates that an individual died while under the control, supervision, or physical custody of a specified authority or entity.
-
C.
numberSentencedToDeath
Indicates the number of individuals who have been formally sentenced to receive the death penalty.
-
D.
deathPenaltyImposedFor
Indicates that a death penalty has been officially assigned as the punishment for a particular offense or action.
-
E.
timeOfCondemnation
Indicates the specific time at which a condemnation (such as a legal judgment or formal denunciation) occurs or is issued.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:01 a.m.