Triple
T19470013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machines Like Me |
E487095
|
entity |
| Predicate | exploresEthicalIssue |
P18695
|
FINISHED |
| Object | creation of sentient machines |
—
|
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: creation of sentient machines | Statement: [Machines Like Me, exploresEthicalIssue, creation of sentient machines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresEthicalIssue Context triple: [Machines Like Me, exploresEthicalIssue, creation of sentient machines]
-
A.
functionInEthics
Indicates that something serves a particular role, purpose, or contribution within the domain of ethics or ethical theory.
-
B.
ethicalDebate
Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
-
C.
hasEthicalDimension
chosen
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
D.
hasMoralIssue
Indicates that there exists an ethical concern, dilemma, or conflict associated with the referenced entity or situation.
-
E.
ethicalStanceInStory
Indicates the ethical position, judgment, or moral viewpoint expressed or taken within the context of a particular story or narrative.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e6fd988190b79be580b65746fe |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.