Triple
T30674786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skrulls |
E780881
|
entity |
| Predicate | canImpersonate |
P170003
|
FINISHED |
| Object | humans |
—
|
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: humans | Statement: [Skrulls, canImpersonate, humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canImpersonate Context triple: [Skrulls, canImpersonate, humans]
-
A.
canAuthorize
Indicates that one entity has the power or permission to grant approval or official permission for another entity to perform an action or access a resource.
-
B.
killsOnBehalfOf
Indicates that one entity kills another while acting under the direction, authority, or interests of a third party.
-
C.
canAccedeTo
Indicates that one entity has the ability, permission, or right to gain access to or enter into another entity, resource, or state.
-
D.
canEnforce
Indicates that one entity has the authority or capability to compel compliance with rules, decisions, or obligations upon another entity.
-
E.
canSupervise
Indicates that one entity has the authority or capability to oversee, direct, or manage the work or activities of another entity.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b17a7608190a6568c48d8128dfe |
completed | May 2, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:32 p.m.