Triple
T12045266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McClung |
E286767
|
entity |
| Predicate | effectOfCaseOnSubject |
P102027
|
FINISHED |
| Object | required to comply with federal public accommodations provisions |
—
|
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: required to comply with federal public accommodations provisions | Statement: [McClung, effectOfCaseOnSubject, required to comply with federal public accommodations provisions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfCaseOnSubject Context triple: [McClung, effectOfCaseOnSubject, required to comply with federal public accommodations provisions]
-
A.
impactOnSubject
chosen
Indicates the effect, influence, or consequence that one entity, event, or action has on a specified subject.
-
B.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
C.
impactOnCaseFlow
Indicates how an event, action, or decision affects the progression, timing, or movement of cases through a process or system.
-
D.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
E.
influencedCourtDecision
Indicates that one entity had an effect on or contributed to the outcome of a court’s decision regarding another entity or matter.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.