Triple
T34114315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Edgar Wallace Mystery Theatre |
E874926
|
entity |
| Predicate | hasTypeOfEpisode |
P61668
|
FINISHED |
| Object | murder mystery |
—
|
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: murder mystery | Statement: [The Edgar Wallace Mystery Theatre, hasTypeOfEpisode, murder mystery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfEpisode Context triple: [The Edgar Wallace Mystery Theatre, hasTypeOfEpisode, murder mystery]
-
A.
isEpisodeOfType
Indicates that an episode belongs to or is classified under a specific type or category.
-
B.
isEpisodeOfGenre
chosen
Indicates that a specific episode belongs to or is categorized under a particular genre.
-
C.
hasEpisodeLengthType
Indicates the type or category of duration associated with an episode (e.g., standard length, short, extended).
-
D.
appearsInEpisodeType
Indicates that an entity is featured in, or associated with, a specific type or category of episode.
-
E.
hasEpisodeCode
Indicates that an episode is associated with a specific identifying code or number.
- 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: May 1, 2026, 1:53 a.m.