Triple
T14044434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Walkmen |
E337920
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
You & Me
"You & Me" is a critically acclaimed 2008 indie rock album by The Walkmen, noted for its atmospheric production and emotionally resonant songwriting.
|
E1076555
|
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: You & Me | Statement: [The Walkmen, notableWork, You & Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You & Me Context triple: [The Walkmen, notableWork, You & Me]
-
A.
You and Me
"You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
-
B.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
C.
You and Me
"You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
-
D.
You and Me
"You and Me" is a component work or project within the interdisciplinary ArtScience initiative, reflecting its blend of artistic creativity and scientific inquiry.
-
E.
Me and You
"Me and You" is a song by the band Sugarcane, likely reflecting their melodic style and thematic focus on personal relationships.
- 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: You & Me Triple: [The Walkmen, notableWork, You & Me]
Generated description
"You & Me" is a critically acclaimed 2008 indie rock album by The Walkmen, noted for its atmospheric production and emotionally resonant songwriting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: You & Me Target entity description: "You & Me" is a critically acclaimed 2008 indie rock album by The Walkmen, noted for its atmospheric production and emotionally resonant songwriting.
-
A.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
B.
You and Me
"You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
-
C.
You and Me
"You and Me" is a component work or project within the interdisciplinary ArtScience initiative, reflecting its blend of artistic creativity and scientific inquiry.
-
D.
You and Me
"You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
-
E.
Me and You
"Me and You" is a song by the band Sugarcane, likely reflecting their melodic style and thematic focus on personal relationships.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34148348190a8c67e035646e431 |
completed | May 6, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_69fc4300948881908784c5ad99188ad2 |
completed | May 7, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:20 p.m.