Triple
T27949615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BTS |
E703385
|
entity |
| Predicate | hasUNICEFCampaign |
P121624
|
FINISHED |
| Object | Love Myself |
—
|
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: Love Myself | Statement: [BTS, hasUNICEFCampaign, Love Myself]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUNICEFCampaign Context triple: [BTS, hasUNICEFCampaign, Love Myself]
-
A.
hasConservationCampaign
Indicates that an entity is associated with or participates in a specific conservation campaign aimed at protecting or restoring natural resources or biodiversity.
-
B.
hasPhilanthropicProgram
chosen
Indicates that an entity operates or participates in an organized initiative aimed at providing charitable or philanthropic support.
-
C.
hasUNOrgan
Indicates that an entity is a member of, affiliated with, or otherwise formally associated with a specified United Nations body or organ.
-
D.
hasMajorCampaign
Indicates that an entity is associated with or participates in a primary, large-scale campaign.
-
E.
supportedCampaignOf
Indicates that one entity actively backed, promoted, or provided assistance to the campaign associated with another entity.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 7:24 p.m.