Triple
T9914464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellogg, Huber, Hansen, Todd, Evans & Figel |
E185831
|
entity |
| Predicate | operatesInLegalSystem |
P45855
|
FINISHED |
| Object | common 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: common law | Statement: [Kellogg, Huber, Hansen, Todd, Evans & Figel, operatesInLegalSystem, common law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInLegalSystem Context triple: [Kellogg, Huber, Hansen, Todd, Evans & Figel, operatesInLegalSystem, common law]
-
A.
countryOfLegalSystem
Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
-
B.
relatedLegalSystem
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
-
C.
legalSystemRegion
Indicates the geographic or jurisdictional region within which a particular legal system is applicable or in force.
-
D.
legalSystemWorkedIn
chosen
Indicates that a person carried out their professional legal activities within a particular legal system or jurisdiction.
-
E.
partOfLegalSystem
Indicates that something belongs to, is included within, or functions as a component of a particular legal system.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53ba1ac8190ba655133b81596d7 |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.