Triple
T8396442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albany Law Review |
E198063
|
entity |
| Predicate | editorialLeadership |
P43557
|
FINISHED |
| Object | editor-in-chief (student) |
—
|
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: editor-in-chief (student) | Statement: [Albany Law Review, editorialLeadership, editor-in-chief (student)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorialLeadership Context triple: [Albany Law Review, editorialLeadership, editor-in-chief (student)]
-
A.
documentsLeadership
Indicates that one entity records, evidences, or provides authoritative documentation of another entity’s leadership or leadership role.
-
B.
leadershipContext
chosen
Indicates the situational or organizational setting in which leadership is exercised or expressed between entities.
-
C.
resultOfLeadership
Indicates that something occurs or exists as a consequence or outcome of a particular leadership action, style, or decision.
-
D.
executiveArticle
Indicates a relationship where an executive is associated with, responsible for, or featured in a specific article.
-
E.
editorialLine
Indicates the overarching editorial stance, policy, or perspective that guides how content is selected, framed, and presented.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818893348190a6ea2ff6a2e3e491 |
completed | March 31, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.