Triple
T1920783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunnel of Love |
E40119
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
One Step Up
"One Step Up" is a reflective, country-tinged rock ballad by Bruce Springsteen that explores the breakdown of a romantic relationship.
|
E216582
|
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: One Step Up | Statement: [Tunnel of Love, hasPart, One Step Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Step Up Context triple: [Tunnel of Love, hasPart, One Step Up]
-
A.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
B.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
-
C.
Movin' On Up
"Movin' On Up" is the upbeat, gospel-influenced theme song best known for introducing the American sitcom *The Jeffersons* and celebrating its characters’ rise to a better life.
-
D.
Turn It Up
"Turn It Up" is a song from Brandy's 2004 R&B album "Afrodisiac," showcasing her smooth vocals over contemporary, Timbaland-influenced production.
-
E.
Hollywood Heights
Hollywood Heights is a hillside residential neighborhood in central Los Angeles known for its winding streets, historic homes, and close proximity to the Hollywood Bowl and Hollywood Boulevard.
- 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: One Step Up Triple: [Tunnel of Love, hasPart, One Step Up]
Generated description
"One Step Up" is a reflective, country-tinged rock ballad by Bruce Springsteen that explores the breakdown of a romantic relationship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: One Step Up Target entity description: "One Step Up" is a reflective, country-tinged rock ballad by Bruce Springsteen that explores the breakdown of a romantic relationship.
-
A.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
B.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
-
C.
Movin' On Up
"Movin' On Up" is the upbeat, gospel-influenced theme song best known for introducing the American sitcom *The Jeffersons* and celebrating its characters’ rise to a better life.
-
D.
Turn It Up
"Turn It Up" is a song from Brandy's 2004 R&B album "Afrodisiac," showcasing her smooth vocals over contemporary, Timbaland-influenced production.
-
E.
Hollywood Heights
Hollywood Heights is a hillside residential neighborhood in central Los Angeles known for its winding streets, historic homes, and close proximity to the Hollywood Bowl and Hollywood Boulevard.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e192288190873b58b98ce928e8 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf5a76f508190a19d61ba12918fd1 |
completed | March 8, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf6108c988190b992de20cf287da7 |
completed | March 8, 2026, 10:20 p.m. |
Created at: March 4, 2026, 7:35 p.m.