Triple
T14454951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonelyhearts |
E358433
|
entity |
| Predicate | sourceNovelLanguage |
P35318
|
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: [Lonelyhearts, sourceNovelLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceNovelLanguage Context triple: [Lonelyhearts, sourceNovelLanguage, English]
-
A.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
-
B.
languageOfBooks
chosen
Indicates the language in which the referenced books are written or published.
-
C.
shortStoryOriginalLanguage
Indicates the original language in which a short story was first written or published.
-
D.
originalTextLanguage
Indicates the language in which a text was originally written or created before any translation or adaptation.
-
E.
originalLanguageAuthor
Indicates that an author created a work in a particular original language.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.