Triple
T29954037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Mirror: The Entire History of You |
E760845
|
entity |
| Predicate | inUniverseTechnologyName |
P98723
|
FINISHED |
| Object | grain |
—
|
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: grain | Statement: [Black Mirror: The Entire History of You, inUniverseTechnologyName, grain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseTechnologyName Context triple: [Black Mirror: The Entire History of You, inUniverseTechnologyName, grain]
-
A.
inUniverseTechnologyOf
Indicates that a technology exists within, and is part of, the fictional universe or setting associated with a given entity.
-
B.
inUniverseTechnologyDeveloped
Indicates that a specific technology has been created or developed within the context of a particular fictional or defined universe.
-
C.
technologyName
chosen
Indicates the specific name or designation of a technology associated with an entity.
-
D.
inUniverseProductType
Indicates that a product belongs to or is categorized within a specific fictional or defined universe or setting.
-
E.
technologyCounterpartOf
Indicates a relationship where one technology serves as an equivalent, alternative, or corresponding counterpart to another technology.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 29, 2026, 6:26 p.m.