Triple
T29348398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DV-5 |
E744234
|
entity |
| Predicate | lawConstraint |
P9279
|
FINISHED |
| Object | must obey the First Law of Robotics |
—
|
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: must obey the First Law of Robotics | Statement: [DV-5, lawConstraint, must obey the First Law of Robotics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawConstraint Context triple: [DV-5, lawConstraint, must obey the First Law of Robotics]
-
A.
legalConstraint
Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
-
B.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
-
C.
legalRequirement
chosen
Indicates that one entity is obligated by law to perform, provide, or comply with something in relation to another entity or situation.
-
D.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
E.
legalExceptionUnitedStates
Indicates that the usual legal rule or requirement does not apply in the United States due to a specific statutory, regulatory, or judicially recognized exception.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669595a0881908ea97caf704fefb3 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:04 p.m.