Triple
T8113357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessie Reyez |
E189408
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mood
"Mood" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotionally charged style and confessional lyricism.
|
E712934
|
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: Mood | Statement: [Jessie Reyez, notableWork, Mood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mood Context triple: [Jessie Reyez, notableWork, Mood]
-
A.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
-
B.
Mood
Mood is an American hip hop group known for its underground, jazz-influenced sound and collaborations with producer Hi-Tek.
-
C.
The Mood
"The Mood" is a track by Kid Cudi from his album *Man on the Moon II: The Legend of Mr. Rager*, known for its introspective lyrics and atmospheric production.
-
D.
Emotion
Emotion is a 1984 pop album by Barbra Streisand that blends contemporary production with her signature vocal style.
-
E.
Feel
"Feel" is a 2002 pop ballad by British singer Robbie Williams, known for its emotive lyrics and powerful vocal performance, and is one of his signature hits.
- 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: Mood Triple: [Jessie Reyez, notableWork, Mood]
Generated description
"Mood" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotionally charged style and confessional lyricism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mood Target entity description: "Mood" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotionally charged style and confessional lyricism.
-
A.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
-
B.
Mood
Mood is an American hip hop group known for its underground, jazz-influenced sound and collaborations with producer Hi-Tek.
-
C.
The Mood
"The Mood" is a track by Kid Cudi from his album *Man on the Moon II: The Legend of Mr. Rager*, known for its introspective lyrics and atmospheric production.
-
D.
Emotion
Emotion is a 1984 pop album by Barbra Streisand that blends contemporary production with her signature vocal style.
-
E.
Feel
"Feel" is a 2002 pop ballad by British singer Robbie Williams, known for its emotive lyrics and powerful vocal performance, and is one of his signature hits.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432d7dfc8190b9c980f32c7b4623 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9433a5848190aac09a2589061b53 |
completed | April 1, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69cc963fe2f8819098ad6a726e226189 |
completed | April 1, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc97781c0481909d21293633d111be |
completed | April 1, 2026, 3:56 a.m. |
Created at: March 30, 2026, 5:32 p.m.