Triple
T8636972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utopia |
E204546
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
track "Fe!n"
"Fe!n" is a high-energy hip-hop track by Travis Scott from his 2023 album "Utopia," known for its aggressive production and standout guest features.
|
E747319
|
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: track "Fe!n" | Statement: [Utopia, hasPart, track "Fe!n"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: track "Fe!n" Context triple: [Utopia, hasPart, track "Fe!n"]
-
A.
Feenin'
"Feenin'" is a 1990s R&B single by Jodeci known for its sensual lyrics, emotive vocals, and signature New Jack Swing-influenced production.
-
B.
track "Poinciana"
"Poinciana" is a celebrated jazz track most famously interpreted by pianist Ahmad Jamal, whose minimalist, rhythmic 1958 recording became a landmark of modern jazz.
-
C.
track "Hood Boy"
"Hood Boy" is a song by American singer Fantasia from her self-titled second studio album, blending R&B and hip-hop influences.
-
D.
track "Surround U"
"Surround U" is a song featured on Fantasia Barrino's self-titled R&B album.
-
E.
track "Lil' Lil'"
"Lil' Lil'" is a song featured on the hip hop album "Bridging the Gap" by Black Eyed Peas.
- 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: track "Fe!n" Triple: [Utopia, hasPart, track "Fe!n"]
Generated description
"Fe!n" is a high-energy hip-hop track by Travis Scott from his 2023 album "Utopia," known for its aggressive production and standout guest features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: track "Fe!n" Target entity description: "Fe!n" is a high-energy hip-hop track by Travis Scott from his 2023 album "Utopia," known for its aggressive production and standout guest features.
-
A.
Feenin'
"Feenin'" is a 1990s R&B single by Jodeci known for its sensual lyrics, emotive vocals, and signature New Jack Swing-influenced production.
-
B.
track "Poinciana"
"Poinciana" is a celebrated jazz track most famously interpreted by pianist Ahmad Jamal, whose minimalist, rhythmic 1958 recording became a landmark of modern jazz.
-
C.
track "Hood Boy"
"Hood Boy" is a song by American singer Fantasia from her self-titled second studio album, blending R&B and hip-hop influences.
-
D.
track "Surround U"
"Surround U" is a song featured on Fantasia Barrino's self-titled R&B album.
-
E.
track "Lil' Lil'"
"Lil' Lil'" is a song featured on the hip hop album "Bridging the Gap" by Black Eyed Peas.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc476255508190b3e5855232b399a0 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc23d6808190801993e41d93bb9c |
completed | April 2, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69cebcc2d8c08190a7273123fb79b9f7 |
completed | April 2, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebd48bde481909b508d52f4720989 |
completed | April 2, 2026, 7:02 p.m. |
Created at: March 30, 2026, 6:27 p.m.