Triple
T19672220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DNA World Tour |
E472359
|
entity |
| Predicate | hasSetlistSong |
P20452
|
FINISHED |
| Object | The One |
—
|
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: The One | Statement: [DNA World Tour, hasSetlistSong, The One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The One Context triple: [DNA World Tour, hasSetlistSong, The One]
-
A.
The One
The One is a divine epithet in Islamic theology signifying God's absolute oneness, uniqueness, and indivisibility.
-
B.
The One
The One is a section or component of the work "The Art of Doing Nothing," likely focusing on a central idea or theme within that larger piece.
-
C.
The One
chosen
"The One" is an R&B single by American singer Tamar Braxton that showcases her soulful vocals over a sample-driven, mid-tempo groove.
-
D.
The One
The One is a film featuring actress Vanessa Marquez in a significant role.
-
E.
The One
"The One" is a film featuring Diarmaid Murtagh, known for his roles in action and drama projects.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416d61008190af531c6d346d7da1 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.