Triple
T11898865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flower Boy |
E283099
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Anna of the North
Anna of the North is a Norwegian indie-pop singer-songwriter known for her dreamy, synth-driven sound and collaborations with artists like Tyler, the Creator.
|
E952558
|
NE FINISHED |
How this triple was built (4 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: Anna of the North | Statement: [Flower Boy, featuresArtist, Anna of the North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna of the North Context triple: [Flower Boy, featuresArtist, Anna of the North]
-
A.
Tove Styrke
Tove Styrke is a Swedish pop singer, songwriter, and former Idol contestant known for her catchy, synth-driven music and energetic performances.
-
B.
Laufey
Laufey is a Frost Giant king from Marvel's Thor universe, depicted as a powerful enemy of Asgard.
-
C.
Anette
Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
-
D.
Anna Jepsen
Anna Jepsen is a person notable enough to be recognized as a prominent bearer of the surname Jepsen.
-
E.
Maren
Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anna of the North Triple: [Flower Boy, featuresArtist, Anna of the North]
Generated description
Anna of the North is a Norwegian indie-pop singer-songwriter known for her dreamy, synth-driven sound and collaborations with artists like Tyler, the Creator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna of the North Target entity description: Anna of the North is a Norwegian indie-pop singer-songwriter known for her dreamy, synth-driven sound and collaborations with artists like Tyler, the Creator.
-
A.
Tove Styrke
Tove Styrke is a Swedish pop singer, songwriter, and former Idol contestant known for her catchy, synth-driven music and energetic performances.
-
B.
Laufey
Laufey is a Frost Giant king from Marvel's Thor universe, depicted as a powerful enemy of Asgard.
-
C.
Anette
Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
-
D.
Anna Jepsen
Anna Jepsen is a person notable enough to be recognized as a prominent bearer of the surname Jepsen.
-
E.
Maren
Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
- F. None of above. chosen
Provenance (5 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd13cc10819089d8d5103e562924 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4182f18c08190b22706b024d60dd7 |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1c21388190b6ecb0fd602abb7d |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f42283c4cc81909793834ef65d2514 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.