Triple
T37489800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Harding |
E931646
|
entity |
| Predicate | hasPublishedBooksIn |
P44842
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Tim Harding, hasPublishedBooksIn, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublishedBooksIn Context triple: [Tim Harding, hasPublishedBooksIn, 20th century]
-
A.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
B.
hasAuthorPublished
chosen
Indicates that a specific author has produced and made publicly available at least one work, such as a book, article, or paper.
-
C.
publishesBooksOn
Indicates that a publisher or author releases or makes available books whose subject matter concerns a specified topic or field.
-
D.
workPublishedAuthor
Indicates that a particular work was created and published by a specific author.
-
E.
hasAwardWinningBooks
Indicates that an entity (such as an author, publisher, or library) possesses or is associated with books that have received one or more awards.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.