Triple
T20785799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Want Two |
E511632
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Want series |
—
|
NE NERFINISHED |
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: Want series | Statement: [Want Two, partOf, Want series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Want series Context triple: [Want Two, partOf, Want series]
-
A.
Want series
chosen
The Want series is a two-part collection of albums by singer-songwriter Rufus Wainwright that showcases some of his most ambitious and stylistically diverse work.
-
B.
Watch series
The Watch series is a collection of British nature television programmes that follow seasonal wildlife and natural events across the UK.
-
C.
Seri
The Seri are an Indigenous people of northwestern Mexico, traditionally living along the Gulf of California coast and known for their rich maritime culture, distinctive language, and artisanal crafts.
-
D.
Mode series
The Mode series is a science fiction/fantasy book series by Piers Anthony that explores parallel universes and alternate realities.
-
E.
Series S
Series S is a set of ITU-T telecommunications standards focused on telegraph and related terminal equipment specifications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28c0d0c8190aa48e6fdfdaab750 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.