Triple
T33897223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christy Brzonkala |
E868945
|
entity |
| Predicate | legalClaimSection |
P6849
|
FINISHED |
| Object | 42 U.S.C. § 13981 |
—
|
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: 42 U.S.C. § 13981 | Statement: [Christy Brzonkala, legalClaimSection, 42 U.S.C. § 13981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalClaimSection Context triple: [Christy Brzonkala, legalClaimSection, 42 U.S.C. § 13981]
-
A.
legalClaimBy
Indicates that a specific party initiates or holds a legal claim against another party or concerning a particular matter.
-
B.
legalCase
Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
-
C.
legalContent
Indicates that the associated material complies with applicable laws and regulations and is permitted for use, distribution, or display.
-
D.
significantLawSection
chosen
Indicates that a particular section of law is especially relevant or important in the context of the described legal situation or relationship.
-
E.
legalCaseAlongside
Indicates that two or more legal cases are proceeding in parallel or in coordination, such that they are related or handled together in some aspect of the legal process.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: May 1, 2026, 1:48 a.m.