Triple
T25639921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Russell Brewer |
E642809
|
entity |
| Predicate | countryOfDeathPenaltySentence |
P336
|
FINISHED |
| Object | United States of America |
—
|
NE NERFINISHED |
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: United States of America | Statement: [Lawrence Russell Brewer, countryOfDeathPenaltySentence, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfDeathPenaltySentence Context triple: [Lawrence Russell Brewer, countryOfDeathPenaltySentence, United States of America]
-
A.
deathPenaltyJurisdiction
Indicates that a given jurisdiction legally authorizes, applies, or recognizes the death penalty as a form of criminal punishment.
-
B.
countryOfConviction
Indicates the country in which a person or entity was legally convicted of an offense.
-
C.
deathPenaltyImposedFor
Indicates that a death penalty has been officially assigned as the punishment for a particular offense or action.
-
D.
countryOfImprisonment
Indicates the country in which a person or entity is or was imprisoned.
-
E.
countryOfDeath
chosen
Indicates the country in which an entity (typically a person) died.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 21, 2026, 5:39 p.m.