Triple
T19629068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Matter (TV series) |
E471216
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Dark Matter (comic book) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Dark Matter (comic book) | Statement: [Dark Matter (TV series), basedOn, Dark Matter (comic book)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Matter (comic book) Context triple: [Dark Matter (TV series), basedOn, Dark Matter (comic book)]
-
A.
Dark Matter (TV series)
Dark Matter is a science fiction television series about a group of amnesiac crew members who awaken aboard a derelict spaceship and must uncover their identities and pasts while navigating a dangerous galaxy.
-
B.
A Very Very Very Dark Matter
A Very Very Very Dark Matter is a darkly comic play by Martin McDonagh that imagines a grotesque, fantastical backstory for Hans Christian Andersen and the origins of his fairy tales.
-
C.
Dark Matter: Reading the Bones
Dark Matter: Reading the Bones is an acclaimed speculative fiction anthology edited by Sheree Renée Thomas that showcases Afrofuturist and Black science fiction, fantasy, and horror stories.
-
D.
Dark Matter
Dark Matter is a recurring, malevolent final boss and central antagonist in the Kirby video game series, often depicted as a dark, shape-shifting entity that threatens Dream Land and the universe.
-
E.
Dark Matter
"Dark Matter" is a 2000 science fiction novel by American author Gary G. (GZA) Grice that blends cosmic themes with gritty urban realism, reflecting his background as a founding member of the Wu-Tang Clan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dark Matter (comic book) Target entity description: Dark Matter (comic book) is a science fiction comic series that follows a group of amnesiac crew members aboard a mysterious spaceship, which served as the basis for the Dark Matter television adaptation.
-
A.
Dark Matter (TV series)
chosen
Dark Matter is a science fiction television series about a group of amnesiac crew members who awaken aboard a derelict spaceship and must uncover their identities and pasts while navigating a dangerous galaxy.
-
B.
A Very Very Very Dark Matter
A Very Very Very Dark Matter is a darkly comic play by Martin McDonagh that imagines a grotesque, fantastical backstory for Hans Christian Andersen and the origins of his fairy tales.
-
C.
Dark Matter: Reading the Bones
Dark Matter: Reading the Bones is an acclaimed speculative fiction anthology edited by Sheree Renée Thomas that showcases Afrofuturist and Black science fiction, fantasy, and horror stories.
-
D.
Dark Matter
"Dark Matter" is a 2000 science fiction novel by American author Gary G. (GZA) Grice that blends cosmic themes with gritty urban realism, reflecting his background as a founding member of the Wu-Tang Clan.
-
E.
Dark Matter
Dark Matter is a recurring, malevolent final boss and central antagonist in the Kirby video game series, often depicted as a dark, shape-shifting entity that threatens Dream Land and the universe.
- F. None of above.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64101a0448190ba19f8917ae85dd6 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.