Triple
T3651841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will You Love Me Tomorrow |
E77433
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object |
Boys
"Boys" is an early rock and roll song best known for its energetic recording by The Beatles, featuring Ringo Starr on lead vocals.
|
E374878
|
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: Boys | Statement: [Will You Love Me Tomorrow, hasBside, Boys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boys Context triple: [Will You Love Me Tomorrow, hasBside, Boys]
-
A.
Boy
"Boy" is the debut studio album by Irish rock band U2, known for its youthful themes and introducing the band's distinctive post-punk sound.
-
B.
Girls
Girls is an HBO comedy-drama television series created by and starring Lena Dunham that follows a group of young women navigating life and relationships in New York City.
-
C.
Boys & Girls
Boys & Girls is the Grammy-winning debut studio album by American rock band Alabama Shakes, noted for its raw blend of soul, blues, and rock.
-
D.
Men
Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
-
E.
Gents
Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
- 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: Boys Triple: [Will You Love Me Tomorrow, hasBside, Boys]
Generated description
"Boys" is an early rock and roll song best known for its energetic recording by The Beatles, featuring Ringo Starr on lead vocals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boys Target entity description: "Boys" is an early rock and roll song best known for its energetic recording by The Beatles, featuring Ringo Starr on lead vocals.
-
A.
Boy
"Boy" is the debut studio album by Irish rock band U2, known for its youthful themes and introducing the band's distinctive post-punk sound.
-
B.
Girls
Girls is an HBO comedy-drama television series created by and starring Lena Dunham that follows a group of young women navigating life and relationships in New York City.
-
C.
Boys & Girls
Boys & Girls is the Grammy-winning debut studio album by American rock band Alabama Shakes, noted for its raw blend of soul, blues, and rock.
-
D.
Men
Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
-
E.
Gents
Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b664448190986b5223d59de282 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f435c088190976c1dab165665f1 |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b44fd80f408190a0fd4d663dbfb094 |
completed | March 13, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4504126c081909cbdc952f7e1e400 |
completed | March 13, 2026, 5:58 p.m. |
Created at: March 8, 2026, 3:24 p.m.