Triple
T30227714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasy: The Best of 2001 |
E768536
|
entity |
| Predicate | containsWorksFromYear |
P198385
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Fantasy: The Best of 2001, containsWorksFromYear, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsWorksFromYear Context triple: [Fantasy: The Best of 2001, containsWorksFromYear, 2001]
-
A.
containsWorksFrom
Indicates that one entity includes or holds works that originate from or are created by another entity.
-
B.
keyWorkReleaseYear
Indicates the year in which a key work (such as a major publication, artwork, or product) was first released.
-
C.
createdForWorkReleasedInYear
Indicates that something was created specifically for a work that was released in a particular year.
-
D.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
-
E.
hasPartInYear
Indicates that something includes or contains a specific part, component, or segment that is associated with a particular year.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
| PDg | Predicate description generation | batch_69fee0b03a0c81909117dc5915d77295 |
completed | May 9, 2026, 7:22 a.m. |
Created at: April 29, 2026, 7:36 p.m.