Triple
T29186032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New Laws of Robotics |
E739869
|
entity |
| Predicate | revisitsWorkByAuthor |
P166930
|
FINISHED |
| Object | Isaac Asimov’s 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: Isaac Asimov’s Three Laws of Robotics | Statement: [The New Laws of Robotics, revisitsWorkByAuthor, Isaac Asimov’s Three Laws of Robotics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisitsWorkByAuthor Context triple: [The New Laws of Robotics, revisitsWorkByAuthor, Isaac Asimov’s Three Laws of Robotics]
-
A.
relatedWorkSeriesAuthor
Indicates that an author is associated with a work that is part of the same series or a related series as another work.
-
B.
followsWorkBySameAuthors
Indicates that one work comes after and is related to another work created by the same authors.
-
C.
workBySameAuthorAs
Indicates that two works share the same author, i.e., they were created by the same person or entity.
-
D.
appearsInWorkByAuthorFrom
Indicates that an entity appears in a work that was created by an author originating from a specified place or country.
-
E.
workInCollectionBySameAuthor
Indicates that one work is included in a collection whose other contents are by the same author as that work.
- F. None of above. chosen
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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 11:59 a.m.