Triple
T1181067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Mirror: Arkangel |
E25137
|
entity |
| Predicate | episodeNumberInSeason |
P24962
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Black Mirror: Arkangel, episodeNumberInSeason, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: episodeNumberInSeason Context triple: [Black Mirror: Arkangel, episodeNumberInSeason, 2]
-
A.
episodeNumberInSeries
Indicates the specific sequential position an episode occupies within its overall series.
-
B.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
C.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
D.
directedEpisodeOf
Indicates that a person served as the director for a specific episode of a television or web series.
-
E.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
- F. None of above. chosen
Provenance (4 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:45 p.m.