Triple
T35703448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vic Mackey’s Strike Team |
E1031648
|
entity |
| Predicate | workEthicDepiction |
P67882
|
FINISHED |
| Object | results-oriented over lawful procedure |
—
|
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: results-oriented over lawful procedure | Statement: [Vic Mackey’s Strike Team, workEthicDepiction, results-oriented over lawful procedure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workEthicDepiction Context triple: [Vic Mackey’s Strike Team, workEthicDepiction, results-oriented over lawful procedure]
-
A.
behaviorTowardDiligentPeople
Indicates how an entity acts, responds, or conducts itself specifically in relation to people who are diligent.
-
B.
moralPositionInWork
Indicates the moral or ethical stance that an entity holds or expresses within a particular work (such as a text, artwork, or performance).
-
C.
workOftenDepicts
Indicates that one entity’s work frequently portrays, represents, or includes the other entity as a subject or theme.
-
D.
workCharacter
Indicates that a person is a fictional or narrative character appearing in a particular creative work.
-
E.
workBehavior
chosen
Indicates how an entity typically acts, performs, or conducts itself in a work or professional context.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:05 p.m.