Triple
T5812908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Vause |
E128912
|
entity |
| Predicate | cooperatesWithAuthorities |
P66472
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Alex Vause, cooperatesWithAuthorities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cooperatesWithAuthorities Context triple: [Alex Vause, cooperatesWithAuthorities, yes]
-
A.
allegesCollaborationWith
Indicates that one party claims or asserts that another party has worked together or cooperated with a specified entity.
-
B.
hasLegalCooperation
Indicates that one entity engages in formal legal collaboration or assistance with another entity, typically through agreements, joint actions, or shared legal responsibilities.
-
C.
cooperatesFederallyWith
Indicates that one entity works jointly with another within a federal framework, sharing responsibilities, information, or resources to achieve common objectives.
-
D.
cooperateThrough
Indicates that entities work together or coordinate their actions by means of a specific intermediary, method, or channel.
-
E.
complicitIn
Indicates involvement in or knowing participation in a wrongful, illegal, or unethical act carried out by another party.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b56044c8190847478a342d441c2 |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028ffe180819099e084fe557e789c |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:52 p.m.