Triple
T28103699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autumn Scardina |
E710304
|
entity |
| Predicate | legalClaimType |
P6273
|
FINISHED |
| Object | public accommodations discrimination |
—
|
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: public accommodations discrimination | Statement: [Autumn Scardina, legalClaimType, public accommodations discrimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalClaimType Context triple: [Autumn Scardina, legalClaimType, public accommodations discrimination]
-
A.
legalClaimBy
Indicates that a specific party initiates or holds a legal claim against another party or concerning a particular matter.
-
B.
typeOfClaim
chosen
Indicates the specific category or nature of a claim being made in relation to an entity or statement.
-
C.
litigationType
Indicates the specific category or nature of a legal dispute or court case associated with an entity or event.
-
D.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
-
E.
legalCase
Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 27, 2026, 9:06 p.m.