Triple
T19401178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time magazine Top 10 Books of 2006 |
E485328
|
entity |
| Predicate | coversPublicationYear |
P97077
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Time magazine Top 10 Books of 2006, coversPublicationYear, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversPublicationYear Context triple: [Time magazine Top 10 Books of 2006, coversPublicationYear, 2006]
-
A.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
B.
editionPublicationYear
Indicates the calendar year in which a particular edition of a work was published.
-
C.
appearsInPublicationYear
chosen
Indicates that an entity is featured in a publication that was released in a specific year.
-
D.
republicationYear
Indicates the year in which a work is published again after its original publication.
-
E.
expandedBookPublicationYear
Indicates the year in which an expanded or revised edition of a book was published.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62577454c81909d5bcd07e99b27e4 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:36 p.m.