Triple
T16497662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinkerton |
E400725
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Falling for You
"Falling for You" is a song by the American rock band Weezer from their 1996 album *Pinkerton*, known for its emotional intensity and complex, dynamic arrangement.
|
E1217154
|
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: Falling for You | Statement: [Pinkerton, hasTrack, Falling for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falling for You Context triple: [Pinkerton, hasTrack, Falling for You]
-
A.
Since I Fell for You
"Since I Fell for You" is a classic blues ballad, widely interpreted by jazz and soul artists for its emotive melody and heartfelt lyrics.
-
B.
Fell for You
"Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
-
C.
After You Fall
"After You Fall" is a song by American singer-songwriter Alicia Keys from her 2001 debut studio album, *Songs in A Minor*.
-
D.
Falling into You
Falling into You is a Grammy-winning 1996 pop album by Celine Dion that became one of her most commercially successful and critically acclaimed releases.
-
E.
After We Fell
After We Fell is a 2021 romantic drama film in the "After" series, continuing the tumultuous love story of Tessa Young and Hardin Scott based on Anna Todd’s popular novels.
- 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: Falling for You Triple: [Pinkerton, hasTrack, Falling for You]
Generated description
"Falling for You" is a song by the American rock band Weezer from their 1996 album *Pinkerton*, known for its emotional intensity and complex, dynamic arrangement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Falling for You Target entity description: "Falling for You" is a song by the American rock band Weezer from their 1996 album *Pinkerton*, known for its emotional intensity and complex, dynamic arrangement.
-
A.
Since I Fell for You
"Since I Fell for You" is a classic blues ballad, widely interpreted by jazz and soul artists for its emotive melody and heartfelt lyrics.
-
B.
Fell for You
"Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
-
C.
After You Fall
"After You Fall" is a song by American singer-songwriter Alicia Keys from her 2001 debut studio album, *Songs in A Minor*.
-
D.
Falling into You
Falling into You is a Grammy-winning 1996 pop album by Celine Dion that became one of her most commercially successful and critically acclaimed releases.
-
E.
After We Fell
After We Fell is a 2021 romantic drama film in the "After" series, continuing the tumultuous love story of Tessa Young and Hardin Scott based on Anna Todd’s popular novels.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e343a7c81909e04cbaaa40e2531 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582a316c81908ec32679c976ba23 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058d08f048190b83d3fb69ba8a2c3 |
completed | May 10, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059b5a1f8819089caefc121246739 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:14 a.m.