Triple
T34082437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reason |
E874079
|
entity |
| Predicate | followsRobotLawFramework |
P4454
|
FINISHED |
| Object | Three Laws of Robotics |
—
|
NE NERFINISHED |
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: Three Laws of Robotics | Statement: [Reason, followsRobotLawFramework, Three Laws of Robotics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsRobotLawFramework Context triple: [Reason, followsRobotLawFramework, Three Laws of Robotics]
-
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
Indicates the legal, ethical, or regulatory framework within which a robot’s actions, rights, or obligations are defined or evaluated.
-
C.
followsLegalAuthority
Indicates that one entity acts in accordance with, or is subordinate to, the legal power, rules, or jurisdiction exercised by another entity.
-
D.
obeysLaw
chosen
Indicates that an entity follows, complies with, or acts in accordance with a specified law or set of laws.
-
E.
isFrameworkLawFor
Indicates that one legal framework or statute serves as the overarching or foundational law governing or structuring another law, policy, or regulatory domain.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: May 1, 2026, 1:52 a.m.