Triple
T29016376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Machine and the Robot |
E737317
|
entity |
| Predicate | hasAuthorialConcept |
P102034
|
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: [The Machine and the Robot, hasAuthorialConcept, Three Laws of Robotics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorialConcept Context triple: [The Machine and the Robot, hasAuthorialConcept, Three Laws of Robotics]
-
A.
hasAuthorConcept
chosen
Indicates that an entity is associated with a conceptual or abstract representation of its author, rather than a specific individual author instance.
-
B.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
C.
hasConceptualStatus
Indicates that an entity holds a particular abstract, theoretical, or conceptual standing or classification within a given framework or context.
-
D.
hasAuthorialStance
Indicates that an entity expresses, embodies, or is associated with a particular author’s viewpoint, attitude, or perspective toward its subject matter.
-
E.
hasConceptualOrigin
Indicates that something conceptually originates from, is derived from, or is fundamentally based on another thing.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 28, 2026, 9:46 a.m.