Triple
T18030894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Rose |
E431385
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Prior to You
"Prior to You" is a song by the Japanese rock band Black Rose.
|
E1303379
|
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: Prior to You | Statement: [Black Rose, hasPart, Prior to You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prior to You Context triple: [Black Rose, hasPart, Prior to You]
-
A.
Before and After
"Before and After" is a 1996 American drama film, based on Rosellen Brown’s novel, about a family’s turmoil after their teenage son is accused of murder.
-
B.
Before Your Love
"Before Your Love" is a pop ballad by Kelly Clarkson that gained prominence as one of her early singles following her American Idol victory.
-
C.
What Came Before
"What Came Before" is a studio album by British electronic music duo Chase & Status that blends drum and bass, jungle, and dance influences.
-
D.
Back to Before
"Back to Before" is a reflective ballad from the musical *Ragtime* in which the character Mother contemplates the irreversible social and personal changes transforming her life.
-
E.
The Life Before This
The Life Before This is a Canadian drama film known for its interwoven narratives exploring fate and consequence in the aftermath of a tragic shooting.
- 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: Prior to You Triple: [Black Rose, hasPart, Prior to You]
Generated description
"Prior to You" is a song by the Japanese rock band Black Rose.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prior to You Target entity description: "Prior to You" is a song by the Japanese rock band Black Rose.
-
A.
Before and After
"Before and After" is a 1996 American drama film, based on Rosellen Brown’s novel, about a family’s turmoil after their teenage son is accused of murder.
-
B.
Before Your Love
"Before Your Love" is a pop ballad by Kelly Clarkson that gained prominence as one of her early singles following her American Idol victory.
-
C.
What Came Before
"What Came Before" is a studio album by British electronic music duo Chase & Status that blends drum and bass, jungle, and dance influences.
-
D.
Back to Before
"Back to Before" is a reflective ballad from the musical *Ragtime* in which the character Mother contemplates the irreversible social and personal changes transforming her life.
-
E.
The Life Before This
The Life Before This is a Canadian drama film known for its interwoven narratives exploring fate and consequence in the aftermath of a tragic shooting.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0349ad32088190a90335c252721023 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034dec40d88190acd13a22fa09a938 |
completed | May 12, 2026, 3:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034e9137a88190bb834e9e1a2e1a6f |
completed | May 12, 2026, 4 p.m. |
Created at: April 10, 2026, 10:25 a.m.