Triple
T17480021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stone v. Graham |
E425630
|
entity |
| Predicate | concernsDisplay |
P127618
|
FINISHED |
| Object | framed copies of the Ten Commandments |
—
|
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: framed copies of the Ten Commandments | Statement: [Stone v. Graham, concernsDisplay, framed copies of the Ten Commandments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsDisplay Context triple: [Stone v. Graham, concernsDisplay, framed copies of the Ten Commandments]
-
A.
concernsFeature
Indicates that something is about, relates to, or involves a particular feature.
-
B.
concernedSee
Indicates that one entity looks at or observes another with a sense of worry, care, or concern.
-
C.
concernsTitle
Indicates that something is about or relates specifically to a particular title (such as a name, designation, or formal heading).
-
D.
concernsSet
Indicates that something is about, relates to, or involves a particular set as its primary subject or focus.
-
E.
concernsRight
Indicates that something is about or relates specifically to a legal or moral right held by an entity.
- F. None of above. chosen
Provenance (4 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bf1e8081909f4d4b8992412e62 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.