Triple
T23701505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martian Time-Slip |
E585606
|
entity |
| Predicate | hasPhilipKDickTheme |
P83037
|
FINISHED |
| Object | reality versus perception |
—
|
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: reality versus perception | Statement: [Martian Time-Slip, hasPhilipKDickTheme, reality versus perception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhilipKDickTheme Context triple: [Martian Time-Slip, hasPhilipKDickTheme, reality versus perception]
-
A.
inceptionInFiction
Indicates that one fictional work is introduced, depicted, or originates within the narrative of another fictional work.
-
B.
fictionalTheme
chosen
Indicates that a work, element, or context is centered around or characterized by a fictional theme or motif.
-
C.
themeOfWorkHeAppearsIn
Indicates that the subject is the thematic focus or central topic of the work in which he appears.
-
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.
hasPlaceInFiction
Indicates that a fictional work or element is associated with, set in, or takes place within a particular fictional location 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b682df6881908fe71be9833d3a88 |
completed | April 29, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.