Triple
T14523828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Gonna Get Rocked! |
E340719
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
You and Me
"You and Me" is a song by La Toya Jackson from her 1988 pop and dance-oriented album "You're Gonna Get Rocked!"
|
E1104554
|
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 and Me | Statement: [You're Gonna Get Rocked!, hasTrack, You and Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You and Me Context triple: [You're Gonna Get Rocked!, hasTrack, You and 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.
You & Me
"You & Me" is a critically acclaimed 2008 indie rock album by The Walkmen, noted for its atmospheric production and emotionally resonant songwriting.
- 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 and Me Triple: [You're Gonna Get Rocked!, hasTrack, You and Me]
Generated description
"You and Me" is a song by La Toya Jackson from her 1988 pop and dance-oriented album "You're Gonna Get Rocked!"
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: You and Me Target entity description: "You and Me" is a song by La Toya Jackson from her 1988 pop and dance-oriented album "You're Gonna Get Rocked!"
-
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.
You & Me
"You & Me" is a critically acclaimed 2008 indie rock album by The Walkmen, noted for its atmospheric production and emotionally resonant songwriting.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a50324481909713bbf68295e839 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7c52e0bc8190b8c4b270653e65df |
completed | May 8, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7cf3088c8190a3bf53c9599f0304 |
completed | May 8, 2026, 6:04 a.m. |
Created at: April 10, 2026, 1:22 a.m.