Triple
T23262326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honest |
E582047
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
I Won (Remix)
"I Won (Remix)" is a reworked version of Future and Kanye West’s celebratory hip-hop track, featuring additional verses and production changes that expand on the original song’s themes.
|
E1576405
|
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: I Won (Remix) | Statement: [Honest, hasPart, I Won (Remix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Won (Remix) Context triple: [Honest, hasPart, I Won (Remix)]
-
A.
We Gonna Win
"We Gonna Win" is a hip-hop influenced violin track by The Hip-Hop Violinist that blends classical string performance with contemporary urban beats.
-
B.
Gonna Win
"Gonna Win" is a track featured on the hip-hop album *The 18th Day* by British rapper and singer Estelle.
-
C.
How Many Ways (remix)
"How Many Ways (remix)" is a remixed version of the song "How Many Ways," featured as a track on the release titled "Secrets."
-
D.
Never Wanna Lose
"Never Wanna Lose" is a song by American rapper Lil Uzi Vert from his breakout mixtape *Luv Is Rage*.
-
E.
I Woke
"I Woke" is a poem by Mary Oliver that reflects her characteristic blend of close observation of nature and contemplative, spiritual insight.
- 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: I Won (Remix) Triple: [Honest, hasPart, I Won (Remix)]
Generated description
"I Won (Remix)" is a reworked version of Future and Kanye West’s celebratory hip-hop track, featuring additional verses and production changes that expand on the original song’s themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Won (Remix) Target entity description: "I Won (Remix)" is a reworked version of Future and Kanye West’s celebratory hip-hop track, featuring additional verses and production changes that expand on the original song’s themes.
-
A.
We Gonna Win
"We Gonna Win" is a hip-hop influenced violin track by The Hip-Hop Violinist that blends classical string performance with contemporary urban beats.
-
B.
Gonna Win
"Gonna Win" is a track featured on the hip-hop album *The 18th Day* by British rapper and singer Estelle.
-
C.
How Many Ways (remix)
"How Many Ways (remix)" is a remixed version of the song "How Many Ways," featured as a track on the release titled "Secrets."
-
D.
Never Wanna Lose
"Never Wanna Lose" is a song by American rapper Lil Uzi Vert from his breakout mixtape *Luv Is Rage*.
-
E.
I Woke
"I Woke" is a poem by Mary Oliver that reflects her characteristic blend of close observation of nature and contemplative, spiritual insight.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9f33c819082ef6b380fc594dd |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f7050388190a0848037c96049c0 |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c405be1188190b6622665e448bbe7 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40bece448190bb9fd1a3058a1f06 |
completed | May 19, 2026, 10:51 a.m. |
Created at: April 17, 2026, 4:11 p.m.