Triple
T13794454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die For You |
E331479
|
entity |
| Predicate | hasFanBaseReception |
P48181
|
FINISHED |
| Object | cult favorite among The Weeknd fans |
—
|
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: cult favorite among The Weeknd fans | Statement: [Die For You, hasFanBaseReception, cult favorite among The Weeknd fans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanBaseReception Context triple: [Die For You, hasFanBaseReception, cult favorite among The Weeknd fans]
-
A.
hasFanBaseFrom
Indicates that an entity has a significant group of supporters or followers originating from a specified place, group, or source.
-
B.
hasFanBaseTension
Indicates a relationship where there is conflict, rivalry, or strained relations between the fan bases of the related entities.
-
C.
hasStrongRegionalFanBase
Indicates that an entity enjoys particularly high popularity or support within a specific geographic region compared to other areas.
-
D.
hasFanCommunity
chosen
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
-
E.
fanBase
Indicates that one entity is the group of admirers or supporters devoted to 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.