Triple
T10246300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ungodly Hour |
E240220
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Catch Up
"Catch Up" is a song by American R&B duo Chloe x Halle from their critically acclaimed album *Ungodly Hour*.
|
E853935
|
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: Catch Up | Statement: [Ungodly Hour, hasPart, Catch Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catch Up Context triple: [Ungodly Hour, hasPart, Catch Up]
-
A.
Catch Up
"Catch Up" is a track by American rapper Ludacris featured on his debut studio album "Back for the First Time."
-
B.
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.
-
C.
Stay Up
Stay Up is an alternative title for the adult-themed film "Stay Up! (Viagra)," which centers on comedic and erotic situations involving the famous erectile dysfunction medication.
-
D.
Coming Up
"Coming Up" is a British television drama series showcasing original short films by emerging writers and directors, produced by Channel 4 as a platform for new talent.
-
E.
Coming Up
"Coming Up" is a 1980 song by Paul McCartney (with Wings) known for its upbeat, synth-driven pop sound and innovative music video.
- 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: Catch Up Triple: [Ungodly Hour, hasPart, Catch Up]
Generated description
"Catch Up" is a song by American R&B duo Chloe x Halle from their critically acclaimed album *Ungodly Hour*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catch Up Target entity description: "Catch Up" is a song by American R&B duo Chloe x Halle from their critically acclaimed album *Ungodly Hour*.
-
A.
Catch Up
"Catch Up" is a track by American rapper Ludacris featured on his debut studio album "Back for the First Time."
-
B.
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.
-
C.
Stay Up
Stay Up is an alternative title for the adult-themed film "Stay Up! (Viagra)," which centers on comedic and erotic situations involving the famous erectile dysfunction medication.
-
D.
Coming Up
"Coming Up" is a British television drama series showcasing original short films by emerging writers and directors, produced by Channel 4 as a platform for new talent.
-
E.
Coming Up
"Coming Up" is a 1980 song by Paul McCartney (with Wings) known for its upbeat, synth-driven pop sound and innovative music video.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22cfe1c8190afae178e11a59b8b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7a597188190880200d13784f18f |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fcab0bfc8190b47bc165ef3eb15d |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d70fc3b15081908d1b67a7094c6210 |
completed | April 9, 2026, 2:32 a.m. |
Created at: April 6, 2026, 11:26 a.m.