Triple
T1309692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riding with the King |
E27959
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hold On, I’m Coming
"Hold On, I’m Coming" is a classic soul song originally recorded by Sam & Dave, known for its driving groove and powerful vocal duet.
|
E148927
|
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: Hold On, I’m Coming | Statement: [Riding with the King, hasPart, Hold On, I’m Coming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold On, I’m Coming Context triple: [Riding with the King, hasPart, Hold On, I’m Coming]
-
A.
Hold On
"Hold On" is a song featured on the album "Warning" by the American punk rock band Green Day.
-
B.
Hold On Longer
"Hold On Longer" is a song by John Legend from his 2013 R&B/soul album *Love in the Future*.
-
C.
When I Come Around
"When I Come Around" is a popular 1994 punk rock song by Green Day from their breakthrough album "Dookie," known for its catchy melody and themes of youthful restlessness.
-
D.
Come On
"Come On" is a track by Greek composer Vangelis featured on his 1988 electronic and new-age album "Earth."
-
E.
The Come On
"The Come On" is a 1956 film noir crime drama starring Sterling Hayden, known for its tale of deception, murder, and double-crosses.
- 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: Hold On, I’m Coming Triple: [Riding with the King, hasPart, Hold On, I’m Coming]
Generated description
"Hold On, I’m Coming" is a classic soul song originally recorded by Sam & Dave, known for its driving groove and powerful vocal duet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hold On, I’m Coming Target entity description: "Hold On, I’m Coming" is a classic soul song originally recorded by Sam & Dave, known for its driving groove and powerful vocal duet.
-
A.
Hold On
"Hold On" is a song featured on the album "Warning" by the American punk rock band Green Day.
-
B.
Hold On Longer
"Hold On Longer" is a song by John Legend from his 2013 R&B/soul album *Love in the Future*.
-
C.
When I Come Around
"When I Come Around" is a popular 1994 punk rock song by Green Day from their breakthrough album "Dookie," known for its catchy melody and themes of youthful restlessness.
-
D.
Come On
"Come On" is a track by Greek composer Vangelis featured on his 1988 electronic and new-age album "Earth."
-
E.
The Come On
"The Come On" is a 1956 film noir crime drama starring Sterling Hayden, known for its tale of deception, murder, and double-crosses.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c139551081908ad8eb670c621fff |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb30b45708190aaf8c977fef2500c |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb389ab248190b67eb802ed1ac01f |
completed | March 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb423e2948190b3927d2f041b6215 |
completed | March 7, 2026, 11:26 p.m. |
Created at: March 1, 2026, 7:51 p.m.