Triple
T6404712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janelle Monáe |
E144148
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
“Yoga”
“Yoga” is a 2015 hip hop/R&B single by Janelle Monáe featuring Jidenna, known for its empowering lyrics and danceable, genre-blending production.
|
E589884
|
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: “Yoga” | Statement: [Janelle Monáe, notableWork, “Yoga”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Yoga” Context triple: [Janelle Monáe, notableWork, “Yoga”]
-
A.
Yoga
Yoga is a residential and commercial neighborhood in Setagaya, Tokyo, known for its convenient transport links and urban lifestyle.
-
B.
Yoga
Yoga is Lenovo’s line of versatile laptops and 2-in-1 convertible devices known for their flexible hinges and portable design.
-
C.
Yogad
Yogad is an indigenous ethnolinguistic group in the northern Philippines known for its distinct Austronesian language and cultural traditions centered in the Cagayan Valley region.
-
D.
Yogi-isms
Yogi-isms are the famously humorous, paradoxical, and often unintentionally witty sayings attributed to baseball legend Yogi Berra.
-
E.
YOG
YOG is the commonly used abbreviation for the Youth Olympic Games, an international multi-sport event for young athletes organized by the International Olympic Committee.
- 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: “Yoga” Triple: [Janelle Monáe, notableWork, “Yoga”]
Generated description
“Yoga” is a 2015 hip hop/R&B single by Janelle Monáe featuring Jidenna, known for its empowering lyrics and danceable, genre-blending production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Yoga” Target entity description: “Yoga” is a 2015 hip hop/R&B single by Janelle Monáe featuring Jidenna, known for its empowering lyrics and danceable, genre-blending production.
-
A.
Yoga
Yoga is a residential and commercial neighborhood in Setagaya, Tokyo, known for its convenient transport links and urban lifestyle.
-
B.
Yoga
Yoga is Lenovo’s line of versatile laptops and 2-in-1 convertible devices known for their flexible hinges and portable design.
-
C.
Yogad
Yogad is an indigenous ethnolinguistic group in the northern Philippines known for its distinct Austronesian language and cultural traditions centered in the Cagayan Valley region.
-
D.
Yogi-isms
Yogi-isms are the famously humorous, paradoxical, and often unintentionally witty sayings attributed to baseball legend Yogi Berra.
-
E.
YOG
YOG is the commonly used abbreviation for the Youth Olympic Games, an international multi-sport event for young athletes organized by the International Olympic Committee.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068b0950c819091169aa1a3be0e88 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638aaed0c8190939e751af7c3fa80 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c6395e934c81909bfa10ee1b8e517f |
completed | March 27, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a0a4a108190b474555d8cb1540c |
completed | March 27, 2026, 8:04 a.m. |
Created at: March 22, 2026, 4:35 p.m.