Triple
T36291125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spade Cooley |
E893230
|
entity |
| Predicate | legalConviction |
P6201
|
FINISHED |
| Object | murder of his wife Ella Mae Cooley |
—
|
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: murder of his wife Ella Mae Cooley | Statement: [Spade Cooley, legalConviction, murder of his wife Ella Mae Cooley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalConviction Context triple: [Spade Cooley, legalConviction, murder of his wife Ella Mae Cooley]
-
A.
convictedOf
chosen
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
-
B.
legalStatusAtConviction
Indicates the legal status or condition an individual held at the time they were convicted.
-
C.
convictedAs
Indicates that a person has been formally found guilty and sentenced in a specific role or capacity (e.g., as a particular type of offender) in a legal proceeding.
-
D.
numberOfConvictions
Indicates the count of times an entity has been formally found guilty of an offense.
-
E.
convictedIndividual
Indicates that an individual has been found guilty of a crime or offense through a formal legal process and has received a conviction.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
Created at: May 3, 2026, 4:09 p.m.