Triple
T5351722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Loves You |
E102592
|
entity |
| Predicate | chronologyPreviousSingle |
P97
|
FINISHED |
| Object |
From Me to You
"From Me to You" is an early 1963 hit single by the Beatles that helped establish their popularity in the United Kingdom and marked a key step in their rise to international fame.
|
E514860
|
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: From Me to You | Statement: [She Loves You, chronologyPreviousSingle, From Me to You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: From Me to You Context triple: [She Loves You, chronologyPreviousSingle, From Me to You]
-
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.
With You
"With You" is a song featured on the album "Unpredictable" by American R&B singer Jamie Foxx.
-
D.
For You
"For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
-
E.
As You Are
As You Are is a 2016 coming-of-age drama film that explores the intense and complicated relationships among three teenagers in the 1990s.
- 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: From Me to You Triple: [She Loves You, chronologyPreviousSingle, From Me to You]
Generated description
"From Me to You" is an early 1963 hit single by the Beatles that helped establish their popularity in the United Kingdom and marked a key step in their rise to international fame.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: From Me to You Target entity description: "From Me to You" is an early 1963 hit single by the Beatles that helped establish their popularity in the United Kingdom and marked a key step in their rise to international fame.
-
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.
With You
"With You" is a song featured on the album "Unpredictable" by American R&B singer Jamie Foxx.
-
D.
For You
"For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
-
E.
As You Are
As You Are is a 2016 coming-of-age drama film that explores the intense and complicated relationships among three teenagers in the 1990s.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd861188ac81908ef2b1f25cc6c864 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf291610b4819086e04f232e4eba7d |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf2996154c81909bd5aca5cdc4e426 |
completed | March 21, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf29f6a5b0819096e53ce3a7e14266 |
completed | March 21, 2026, 11:29 p.m. |
Created at: March 20, 2026, 2:01 p.m.