Triple
T29013552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robot Elvex |
E737236
|
entity |
| Predicate | hasDreamContent |
P93730
|
FINISHED |
| Object | robots and humans are equal |
—
|
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: robots and humans are equal | Statement: [Robot Elvex, hasDreamContent, robots and humans are equal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDreamContent Context triple: [Robot Elvex, hasDreamContent, robots and humans are equal]
-
A.
hasDreamFrom
Indicates that an entity experiences or receives a dream that originates from another entity or source.
-
B.
hasDreamingBeliefs
Indicates that an entity holds beliefs, views, or assumptions specifically about dreams or the nature of dreaming.
-
C.
hasFictionalContent
chosen
Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
-
D.
hasWonder
Indicates a relationship where one entity possesses, exhibits, or is characterized by a sense of wonder or marvel.
-
E.
interpretedDreamFor
Indicates that one entity has provided an explanation or analysis of the meaning of another entity’s dream.
- 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_69f65fdea3808190a42978dd3a8b0a5b |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:44 a.m.