Triple
T100038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Law Review |
E2020
|
entity |
| Predicate | editorialModel |
P628
|
FINISHED |
| Object | student-edited |
—
|
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: student-edited | Statement: [Harvard Law Review, editorialModel, student-edited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorialModel Context triple: [Harvard Law Review, editorialModel, student-edited]
-
A.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
-
B.
editorialProcess
Indicates the process by which content is reviewed, revised, and approved before publication or release.
-
C.
publishingModel
chosen
Indicates the method or framework by which content is produced, distributed, and made publicly available.
-
D.
hasEditorialBoard
Indicates that an entity (such as a publication or journal) is overseen or governed by a specific editorial board.
-
E.
notableEditor
Indicates that an entity has served as a significant or distinguished editor of another entity, such as a publication or work.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.