Triple
T10595435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominique DiPierro |
E250098
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Mr. Robot universe |
E89798
|
NE 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: Mr. Robot universe | Statement: [Dominique DiPierro, partOf, Mr. Robot universe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Robot universe Context triple: [Dominique DiPierro, partOf, Mr. Robot universe]
-
A.
Mr. Robot
chosen
Mr. Robot is a critically acclaimed psychological thriller television series about a socially anxious hacker drawn into an underground cyber-activist group.
-
B.
Whiterose in Mr. Robot
Whiterose in Mr. Robot is a mysterious and powerful hacker and Chinese government official who leads the Dark Army and serves as one of the series’ primary antagonists.
-
C.
Westworld
Westworld is a 1973 science fiction thriller film about a futuristic amusement park where lifelike robots malfunction and turn deadly.
-
D.
Westworld
Westworld is a science fiction television series that explores artificial intelligence, consciousness, and morality within a technologically advanced Wild West–themed amusement park.
-
E.
Halt and Catch Fire
Halt and Catch Fire is a critically acclaimed drama television series about a group of innovators navigating the early personal computing and internet boom of the 1980s and 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278cbf9081909ef419b0144d5019 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b6109f08190915953e0ab708981 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 6, 2026, 12:41 p.m.