Triple
T29599148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Law of Robotics |
E754391
|
entity |
| Predicate | mediumOfOriginalPublication |
P35132
|
FINISHED |
| Object | science fiction magazine |
—
|
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: science fiction magazine | Statement: [Third Law of Robotics, mediumOfOriginalPublication, science fiction magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfOriginalPublication Context triple: [Third Law of Robotics, mediumOfOriginalPublication, science fiction magazine]
-
A.
mediumOfWorkAppearsIn
Indicates that a particular medium or format is the form in which a work is presented or appears.
-
B.
publishedIn
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
-
C.
originallyPublishedBy
Indicates that one entity is the original publisher or issuing source responsible for first making another entity publicly available.
-
D.
mediumOfAcademicWork
Indicates that a particular medium or format is the channel through which an academic work is expressed, recorded, or communicated.
-
E.
originalPublicationForm
chosen
Indicates the format or medium in which a work was first originally published.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66dba1e208190bc145461b8334701 |
completed | May 2, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:20 p.m.