Triple
T15939366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 0 to 100 / The Catch Up |
E386518
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
The Catch Up
The Catch Up is a song by American rapper and singer Tory Lanez from his debut studio album "I Told You."
|
E1185447
|
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: The Catch Up | Statement: [0 to 100 / The Catch Up, hasPart, The Catch Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Catch Up Context triple: [0 to 100 / The Catch Up, hasPart, The Catch Up]
-
A.
Catch Up
"Catch Up" is a song by American R&B duo Chloe x Halle from their critically acclaimed album *Ungodly Hour*.
-
B.
Catch Up
"Catch Up" is a track by American rapper Ludacris featured on his debut studio album "Back for the First Time."
-
C.
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.
-
D.
Caught Up
"Caught Up" is an R&B song by Usher from his 2004 album *Confessions*, known for its upbeat tempo and themes of being unexpectedly overwhelmed by love.
-
E.
What Happens Next
"What Happens Next" is an instrumental rock album by virtuoso guitarist Joe Satriani, showcasing his melodic lead playing and signature guitar-driven compositions.
- 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: The Catch Up Triple: [0 to 100 / The Catch Up, hasPart, The Catch Up]
Generated description
The Catch Up is a song by American rapper and singer Tory Lanez from his debut studio album "I Told You."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Catch Up Target entity description: The Catch Up is a song by American rapper and singer Tory Lanez from his debut studio album "I Told You."
-
A.
Catch Up
"Catch Up" is a song by American R&B duo Chloe x Halle from their critically acclaimed album *Ungodly Hour*.
-
B.
Catch Up
"Catch Up" is a track by American rapper Ludacris featured on his debut studio album "Back for the First Time."
-
C.
Caught Up
"Caught Up" is an R&B song by Usher from his 2004 album *Confessions*, known for its upbeat tempo and themes of being unexpectedly overwhelmed by love.
-
D.
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.
-
E.
What Happens Next
"What Happens Next" is an instrumental rock album by virtuoso guitarist Joe Satriani, showcasing his melodic lead playing and signature guitar-driven compositions.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ad9988819089ad7822e0f46177 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5ba070c8190b6af6cb21bddd7f1 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb77a69188190a7b4910a0ce2534c |
completed | May 9, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbbcd0a948190972ddf2202faa85b |
completed | May 9, 2026, 10:57 p.m. |
Created at: April 10, 2026, 4:53 a.m.