Triple
T37888716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wintermute |
E945066
|
entity |
| Predicate | operatesInFictionalDomain |
P106750
|
FINISHED |
| Object | cyberspace matrix |
—
|
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: cyberspace matrix | Statement: [Wintermute, operatesInFictionalDomain, cyberspace matrix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInFictionalDomain Context triple: [Wintermute, operatesInFictionalDomain, cyberspace matrix]
-
A.
operatesInFictionalSetting
chosen
Indicates that an entity carries out its activities or functions within a fictional or imaginary setting rather than a real-world context.
-
B.
hasFictionalDomain
Indicates that an entity is associated with or set within a fictional world, realm, or universe.
-
C.
operatedByFictional
Indicates that an entity (such as an organization, vehicle, or facility) is run, controlled, or managed by a fictional character or fictional organization.
-
D.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
E.
isSetInFictionalUniverse
Indicates that a narrative work takes place within a specific fictional universe or setting.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a031e24299c81908dcbbf1b88f43dfd |
completed | May 12, 2026, 12:33 p.m. |
| PD | Predicate disambiguation | batch_6a031ce232a48190b62bca3e94162f2f |
completed | May 12, 2026, 12:28 p.m. |
Created at: May 3, 2026, 4:19 p.m.