Triple
T28891230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antron McCray |
E732698
|
entity |
| Predicate | lawsuit |
P3996
|
FINISHED |
| Object | civil rights lawsuit against New York City |
—
|
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: civil rights lawsuit against New York City | Statement: [Antron McCray, lawsuit, civil rights lawsuit against New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawsuit Context triple: [Antron McCray, lawsuit, civil rights lawsuit against New York City]
-
A.
litigationType
Indicates the specific category or nature of a legal dispute or court case associated with an entity or event.
-
B.
legalCase
chosen
Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
-
C.
litigates
Indicates that one party engages in legal action or conducts a lawsuit against or involving another party.
-
D.
legalDisputeSubject
Indicates that a legal dispute concerns, involves, or is specifically about the referenced subject or matter.
-
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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 7:55 a.m.