Triple
T38422674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I, Robot (short story) |
E903272
|
entity |
| Predicate | portraysRobotsAs |
P201163
|
FINISHED |
| Object | capable of emotion |
—
|
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: capable of emotion | Statement: [I, Robot (short story), portraysRobotsAs, capable of emotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysRobotsAs Context triple: [I, Robot (short story), portraysRobotsAs, capable of emotion]
-
A.
portraysAliensAs
Indicates that one entity represents or depicts aliens in a particular way or manner.
-
B.
roleAtUSRobots
Indicates that an entity holds or held a specific role or position at the organization US Robots.
-
C.
treatsHumansAs
Indicates how one entity regards or behaves toward humans, characterizing them in a particular way (e.g., as equals, tools, resources, or threats).
-
D.
featuresRobot
Indicates that something includes, presents, or prominently involves a robot as a key element or component.
-
E.
hasRobot
Indicates that one entity possesses, controls, or is associated with a robot.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: May 3, 2026, 4:31 p.m.