Triple
T27777446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyzone |
E699233
|
entity |
| Predicate | hasNumberOneSinglesIn |
P81279
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [Boyzone, hasNumberOneSinglesIn, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOneSinglesIn Context triple: [Boyzone, hasNumberOneSinglesIn, United Kingdom]
-
A.
hasNumberOneSingleIn
chosen
Indicates that an entity has achieved at least one number-one single within a specified chart, region, or context.
-
B.
numberOfSingles
Indicates the count of individual single items (such as single tracks, units, or occurrences) associated with a given entity.
-
C.
numberOfUSNumberOneSingles
Indicates the count of times an entity has achieved a number-one single on the official United States music charts.
-
D.
isOnlyUSNumberOneSingleFor
Indicates that a song reached number one on the US charts but did not achieve a number-one position in any other country for the specified artist or entity.
-
E.
hasBillboardNumberOneSingles
Indicates that the subject has achieved one or more singles that reached number one on the Billboard music charts.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 27, 2026, 5:07 p.m.