Triple

T8579586
Position Surface form Disambiguated ID Type / Status
Subject R. Daneel Olivaw E203133 entity
Predicate coAuthorsLaw P2389 FINISHED
Object Zeroth Law of Robotics E740489 NE FINISHED

How this triple was built (3 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: Zeroth Law of Robotics | Statement: [R. Daneel Olivaw, coAuthorsLaw, Zeroth Law of Robotics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeroth Law of Robotics
Context triple: [R. Daneel Olivaw, coAuthorsLaw, Zeroth Law of Robotics]
  • A. Zeroth Law of Robotics chosen
    The Zeroth Law of Robotics is an additional principle introduced by Isaac Asimov that prioritizes the protection of humanity as a whole above the safety or obedience of individual humans.
  • B. Third Law of Robotics
    The Third Law of Robotics is one of Isaac Asimov’s fictional ethical rules for robots, requiring them to protect their own existence as long as this does not conflict with higher-priority laws about obeying humans and preventing harm.
  • C. First Law of Robotics
    The First Law of Robotics is a fundamental rule in Isaac Asimov’s science fiction that requires robots to protect human beings from harm above all else.
  • D. Second Law of Robotics
    The Second Law of Robotics is one of Isaac Asimov’s fictional ethical rules for robots, requiring them to obey human orders unless such orders conflict with the First Law.
  • E. Three Laws of Robotics
    The Three Laws of Robotics are a set of fictional ethical rules devised by Isaac Asimov to govern the behavior of intelligent robots and prevent them from harming humans.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coAuthorsLaw
Context triple: [R. Daneel Olivaw, coAuthorsLaw, Zeroth Law of Robotics]
  • A. coAuthorshipType
    Indicates the specific nature or category of the collaborative authorship relationship between two or more contributors.
  • B. hasCoauthor chosen
    Indicates that two or more entities have jointly authored the same work or publication.
  • C. coAuthorAlsoWrote
    Indicates that a person who is a co-author of one work also wrote another work, linking shared authorship across multiple creations.
  • D. associatedWithAuthorWork
    Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
  • E. authorshipStatus
    Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
  • F. None of above.

Provenance (4 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9a0708819084cb8b8d84017864 completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc91af4f4819087b59eadbf3a6c26 completed April 3, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69cbd11b13108190b07f8f161425a585 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:22 p.m.