Triple
T23304133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kick I |
E590384
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Shygirl
Shygirl is a British musician, rapper, and DJ known for her experimental, club-oriented pop and electronic music.
|
E1580892
|
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: Shygirl | Statement: [Kick I, featuresArtist, Shygirl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shygirl Context triple: [Kick I, featuresArtist, Shygirl]
-
A.
Dej Loaf
Dej Loaf is an American rapper and singer from Detroit known for her melodic style and breakout single "Try Me."
-
B.
070 Shake
070 Shake is an American rapper and singer known for her moody, genre-blending sound and prominent collaborations with artists like Kanye West.
-
C.
Girl in Red
Girl in Red is the stage name of Norwegian indie-pop singer-songwriter Marie Ulven, known for her intimate, queer-themed bedroom pop anthems like "we fell in love in october" and "i wanna be your girlfriend."
-
D.
Kiiara
Kiiara is an American singer and songwriter known for her minimalist electro-pop sound and breakout single "Gold."
-
E.
Gnash
Gnash is the saber-toothed tiger mascot of the NHL’s Nashville Predators, known for his energetic in-game antics and fan engagement.
- 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: Shygirl Triple: [Kick I, featuresArtist, Shygirl]
Generated description
Shygirl is a British musician, rapper, and DJ known for her experimental, club-oriented pop and electronic music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shygirl Target entity description: Shygirl is a British musician, rapper, and DJ known for her experimental, club-oriented pop and electronic music.
-
A.
Dej Loaf
Dej Loaf is an American rapper and singer from Detroit known for her melodic style and breakout single "Try Me."
-
B.
070 Shake
070 Shake is an American rapper and singer known for her moody, genre-blending sound and prominent collaborations with artists like Kanye West.
-
C.
Girl in Red
Girl in Red is the stage name of Norwegian indie-pop singer-songwriter Marie Ulven, known for her intimate, queer-themed bedroom pop anthems like "we fell in love in october" and "i wanna be your girlfriend."
-
D.
Kiiara
Kiiara is an American singer and songwriter known for her minimalist electro-pop sound and breakout single "Gold."
-
E.
Gnash
Gnash is the saber-toothed tiger mascot of the NHL’s Nashville Predators, known for his energetic in-game antics and fan engagement.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19724de488190ac8eb89253c8dd53 |
completed | April 29, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c9934ec819094ebbe6e61d18ab7 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4f37e390819083df9a959acf3a32 |
completed | May 19, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4fdafde88190a7ac791189acde68 |
completed | May 19, 2026, 11:56 a.m. |
Created at: April 17, 2026, 5:04 p.m.