Triple
T125427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheaton Reports |
E2536
|
entity |
| Predicate | hasEditorRole |
P161
|
FINISHED |
| Object | Henry Wheaton as Supreme Court Reporter |
—
|
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: Henry Wheaton as Supreme Court Reporter | Statement: [Wheaton Reports, hasEditorRole, Henry Wheaton as Supreme Court Reporter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEditorRole Context triple: [Wheaton Reports, hasEditorRole, Henry Wheaton as Supreme Court Reporter]
-
A.
hasRole
chosen
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
B.
hasEditorialMeeting
Indicates that an editorial meeting is scheduled to occur between the related entities.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasEditorialBoard
Indicates that an entity (such as a publication or journal) is overseen or governed by a specific editorial board.
-
E.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573e4e6481908252dfef2e34f46e |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564a54948190ba30bee858173b27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.