Triple
T27372336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L. B. Sullivan |
E690358
|
entity |
| Predicate | lawsuitSubjectMatter |
P83607
|
FINISHED |
| Object | defamation |
—
|
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: defamation | Statement: [L. B. Sullivan, lawsuitSubjectMatter, defamation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawsuitSubjectMatter Context triple: [L. B. Sullivan, lawsuitSubjectMatter, defamation]
-
A.
legalDisputeSubject
chosen
Indicates that a legal dispute concerns, involves, or is specifically about the referenced subject or matter.
-
B.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
-
C.
litigationType
Indicates the specific category or nature of a legal dispute or court case associated with an entity or event.
-
D.
legalMatters
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
-
E.
legalSubject
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:19 p.m.