Triple
T197155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love in the Future |
E3841
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Caught Up
"Caught Up" is a soulful R&B track by John Legend from his album *Love in the Future*, showcasing his smooth vocals and romantic, introspective lyricism.
|
E25695
|
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: Caught Up | Statement: [Love in the Future, hasTrack, Caught Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caught Up Context triple: [Love in the Future, hasTrack, Caught Up]
-
A.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
B.
Like Crazy
Like Crazy is a 2011 romantic drama film about a long-distance relationship strained by immigration issues, starring Anton Yelchin and Felicity Jones.
-
C.
Finding Forever
Finding Forever is a 2007 hip-hop album by rapper Common, known for its soulful production and socially conscious lyrics.
-
D.
Once Again
Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
-
E.
The Best Is Yet to Come
"The Best Is Yet to Come" is a memoir by Ivana Trump reflecting on her life, relationships, and experiences as the former wife of Donald Trump.
- 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: Caught Up Triple: [Love in the Future, hasTrack, Caught Up]
Generated description
"Caught Up" is a soulful R&B track by John Legend from his album *Love in the Future*, showcasing his smooth vocals and romantic, introspective lyricism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caught Up Target entity description: "Caught Up" is a soulful R&B track by John Legend from his album *Love in the Future*, showcasing his smooth vocals and romantic, introspective lyricism.
-
A.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
B.
Like Crazy
Like Crazy is a 2011 romantic drama film about a long-distance relationship strained by immigration issues, starring Anton Yelchin and Felicity Jones.
-
C.
Finding Forever
Finding Forever is a 2007 hip-hop album by rapper Common, known for its soulful production and socially conscious lyrics.
-
D.
Once Again
Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
-
E.
The Best Is Yet to Come
"The Best Is Yet to Come" is a memoir by Ivana Trump reflecting on her life, relationships, and experiences as the former wife of Donald Trump.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2598594388190a56f36fa036eac84 |
completed | Feb. 28, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3232d589081909a56c0ef7349c59e |
completed | Feb. 28, 2026, 5:17 p.m. |
| NEDg | Description generation | batch_69a323e5d5008190879aac12c19248f9 |
completed | Feb. 28, 2026, 5:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a324c96f448190983ba89def7a57c8 |
completed | Feb. 28, 2026, 5:24 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.