Triple
T12996783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Will Caster |
E322056
|
entity |
| Predicate | hasConsciousnessUploadedTo |
P48031
|
FINISHED |
| Object | computer system |
—
|
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: computer system | Statement: [Dr. Will Caster, hasConsciousnessUploadedTo, computer system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsciousnessUploadedTo Context triple: [Dr. Will Caster, hasConsciousnessUploadedTo, computer system]
-
A.
hasConsciousness
Indicates that an entity possesses awareness, subjective experience, or the capacity for conscious thought.
-
B.
hasAI
chosen
Indicates that one entity possesses, incorporates, or is equipped with an artificial intelligence system.
-
C.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
D.
hasPub
Indicates that an entity is associated with, or has access to, a public house (pub) as a related establishment or feature.
-
E.
hasPersona
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:45 p.m.