Triple
T3229707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adele Sherbert |
E67708
|
entity |
| Predicate | caseOutcomeForSubject |
P2931
|
FINISHED |
| Object | unemployment benefits ultimately granted |
—
|
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: unemployment benefits ultimately granted | Statement: [Adele Sherbert, caseOutcomeForSubject, unemployment benefits ultimately granted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caseOutcomeForSubject Context triple: [Adele Sherbert, caseOutcomeForSubject, unemployment benefits ultimately granted]
-
A.
legalCaseOutcomeAssociatedWith
Indicates that a particular legal case outcome is connected or linked to a specific related entity, such as a case, party, or legal proceeding.
-
B.
legalOutcome
chosen
Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
-
C.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
-
D.
subjectOfProsecution
Indicates that an entity is the target or focus of a legal prosecution or criminal proceeding initiated by an authority.
-
E.
outcomeOffice
Indicates that an outcome or result is associated with, produced by, or realized within a particular office or administrative unit.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb826588190a93bcfb1242310e7 |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.