Triple
T34969826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merrick Garland |
E1008503
|
entity |
| Predicate | areaOfLegalExpertise |
P62104
|
FINISHED |
| Object | federal appellate law |
—
|
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: federal appellate law | Statement: [Merrick Garland, areaOfLegalExpertise, federal appellate law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfLegalExpertise Context triple: [Merrick Garland, areaOfLegalExpertise, federal appellate law]
-
A.
legalSystemSpecialization
Indicates that a legal system is specialized or tailored to address a particular domain, issue, or type of case within the broader legal framework.
-
B.
notableAreaOfLaw
chosen
Indicates that a person or entity is particularly recognized or distinguished in a specific field or area of law.
-
C.
branchOfLaw
Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
-
D.
legalProfessionIncludes
Indicates that a legal profession or role encompasses, involves, or includes another specified legal function, specialization, or activity.
-
E.
practicedLawIn
Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.