Triple
T13448516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Loneliness of the Long Distance Runner |
E320545
|
entity |
| Predicate | shortStoryOriginalLanguage |
P109986
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [The Loneliness of the Long Distance Runner, shortStoryOriginalLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortStoryOriginalLanguage Context triple: [The Loneliness of the Long Distance Runner, shortStoryOriginalLanguage, English]
-
A.
originalLanguageAuthor
Indicates that an author created a work in a particular original language.
-
B.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
C.
originStorySummary
Indicates a brief narrative explaining how something began, was created, or came into existence.
-
D.
bestWritingOriginalStoryWinner
Indicates that the subject is the winner of an award or recognition for best writing of an original story.
-
E.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.