Triple
T9721374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curb Records |
E235480
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object |
Selah
Selah is a contemporary Christian music trio known for their powerful vocal harmonies and modern arrangements of traditional hymns.
|
E816439
|
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: Selah | Statement: [Curb Records, hasArtist, Selah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selah Context triple: [Curb Records, hasArtist, Selah]
-
A.
Selah
"Selah" is a gospel-influenced hip-hop track by Kanye West from his 2019 album *Jesus Is King*, known for its intense choral arrangements and religious themes.
-
B.
Hymnen
Hymnen is a large-scale electronic composition by Karlheinz Stockhausen that weaves together and transforms national anthems into an experimental, multi-channel sound collage.
-
C.
Hymnes
Hymnes is a modernist orchestral composition by Igor Markevitch, noted for its complex rhythms and innovative harmonic language.
-
D.
Hymnes
Hymnes is a collection of Renaissance poems by Pierre de Ronsard that blends classical mythology with humanist themes in richly ornate French verse.
-
E.
Hosanna
"Hosanna" is a choral-style song from the rock opera *Jesus Christ Superstar* that features a crowd praising Jesus while religious authorities look on with skepticism.
- 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: Selah Triple: [Curb Records, hasArtist, Selah]
Generated description
Selah is a contemporary Christian music trio known for their powerful vocal harmonies and modern arrangements of traditional hymns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selah Target entity description: Selah is a contemporary Christian music trio known for their powerful vocal harmonies and modern arrangements of traditional hymns.
-
A.
Selah
"Selah" is a gospel-influenced hip-hop track by Kanye West from his 2019 album *Jesus Is King*, known for its intense choral arrangements and religious themes.
-
B.
Hymnen
Hymnen is a large-scale electronic composition by Karlheinz Stockhausen that weaves together and transforms national anthems into an experimental, multi-channel sound collage.
-
C.
Hymnes
Hymnes is a modernist orchestral composition by Igor Markevitch, noted for its complex rhythms and innovative harmonic language.
-
D.
Hymnes
Hymnes is a collection of Renaissance poems by Pierre de Ronsard that blends classical mythology with humanist themes in richly ornate French verse.
-
E.
Hosanna
"Hosanna" is a choral-style song from the rock opera *Jesus Christ Superstar* that features a crowd praising Jesus while religious authorities look on with skepticism.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e42ce948190b52791b27c4456dc |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fa130548190ae729487b90fa8a7 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a0b4dbf8819097e38c253327fc10 |
completed | April 4, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a172ad848190a76f95c4937689d7 |
completed | April 4, 2026, 11:40 p.m. |
Created at: March 30, 2026, 8:20 p.m.