Triple
T18370471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dani Stevenson |
E446168
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Yo, Yo, Yo
"Yo, Yo, Yo" is an R&B song by American singer Dani Stevenson, best known for its appearance on the soundtrack of the film "XXX."
|
E1320713
|
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: Yo, Yo, Yo | Statement: [Dani Stevenson, notableWork, Yo, Yo, Yo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yo, Yo, Yo Context triple: [Dani Stevenson, notableWork, Yo, Yo, Yo]
-
A.
Yo Yo Yo
"Yo Yo Yo" is a track featured on the indie rock compilation album "Take 'Em to the Cleaners" by the band The Cleaners from Venus.
-
B.
Yo Yo
"Yo Yo" is a song featured on the soundtrack album for the film "Car Wash."
-
C.
Ye Ye Ye
"Ye Ye Ye" is a popular Afrobeats song by Nigerian singer Omah Lay, known for its catchy melody and introspective lyrics.
-
D.
Yo!
"Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
-
E.
Yo-Yo
Yo-Yo is an American rapper and actress known for her socially conscious lyrics and prominent role in early 1990s West Coast hip hop.
- 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: Yo, Yo, Yo Triple: [Dani Stevenson, notableWork, Yo, Yo, Yo]
Generated description
"Yo, Yo, Yo" is an R&B song by American singer Dani Stevenson, best known for its appearance on the soundtrack of the film "XXX."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yo, Yo, Yo Target entity description: "Yo, Yo, Yo" is an R&B song by American singer Dani Stevenson, best known for its appearance on the soundtrack of the film "XXX."
-
A.
Yo Yo Yo
"Yo Yo Yo" is a track featured on the indie rock compilation album "Take 'Em to the Cleaners" by the band The Cleaners from Venus.
-
B.
Yo Yo
"Yo Yo" is a song featured on the soundtrack album for the film "Car Wash."
-
C.
Ye Ye Ye
"Ye Ye Ye" is a popular Afrobeats song by Nigerian singer Omah Lay, known for its catchy melody and introspective lyrics.
-
D.
Yo!
"Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
-
E.
Yo-Yo
Yo-Yo is an American rapper and actress known for her socially conscious lyrics and prominent role in early 1990s West Coast hip hop.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51751e4288190873bcc4dc140ac16 |
completed | April 19, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77869e48190a7221d97c99dd2fd |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d831538881908117b180f6cb16da |
completed | May 13, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8b2a8208190a3c346db913cf58c |
completed | May 13, 2026, 1:49 a.m. |
Created at: April 10, 2026, 10:44 a.m.