Triple
T5806378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skitters |
E128753
|
entity |
| Predicate | mindControlStatus |
P57988
|
FINISHED |
| Object | themselves controlled by Espheni Overlords |
—
|
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: themselves controlled by Espheni Overlords | Statement: [Skitters, mindControlStatus, themselves controlled by Espheni Overlords]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mindControlStatus Context triple: [Skitters, mindControlStatus, themselves controlled by Espheni Overlords]
-
A.
controlStatus
chosen
Indicates that one entity has a particular level, state, or condition of control over another entity or process.
-
B.
connectomeStatus
Indicates the current state or condition of connectivity within a neural or network connectome, such as whether it is intact, altered, or disrupted.
-
C.
maintenanceStatus
Indicates the current state or condition of an entity with respect to its maintenance activities, such as whether it is pending, in progress, completed, or overdue.
-
D.
canControl
Indicates that one entity has the ability or authority to direct, manage, or influence the behavior or state of another entity.
-
E.
hasModelStatus
Indicates that an entity is assigned a particular model-related state or condition, such as its current phase, validity, or operational status within a modeling 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b15d8108190b434da42631c4e0c |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.