Triple
T29120064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robbie |
E737154
|
entity |
| Predicate | lawOfRoboticsStatus |
P83022
|
FINISHED |
| Object | pre-Three Laws formulation in publication history |
—
|
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: pre-Three Laws formulation in publication history | Statement: [Robbie, lawOfRoboticsStatus, pre-Three Laws formulation in publication history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawOfRoboticsStatus Context triple: [Robbie, lawOfRoboticsStatus, pre-Three Laws formulation in publication history]
-
A.
hasRobotLaw
Indicates that an entity is governed by, complies with, or is associated with a specific law or set of laws regulating robots or robotic behavior.
-
B.
robotLawContext
chosen
Indicates the legal, ethical, or regulatory framework within which a robot’s actions, rights, or obligations are defined or evaluated.
-
C.
hasAutonomousLaw
Indicates that an entity possesses its own independent legal authority or system of laws, not subordinated to another jurisdiction.
-
D.
isRobotic
Indicates that an entity is robotic, meaning it is a robot or operates using robotic mechanisms or technology.
-
E.
isFullyRobotic
Indicates that the entity operates entirely through robotic mechanisms without human biological components or manual control.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661f3e9d48190bea96aeb602ab631 |
completed | May 2, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:25 a.m.