Triple
T4472829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Why I Love You |
E98534
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Why I Love You |
E98534
|
NE FINISHED |
How this triple was built (2 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: Why I Love You | Statement: [Why I Love You, title, Why I Love You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Why I Love You Context triple: [Why I Love You, title, Why I Love You]
-
A.
Why I Love You
chosen
"Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
-
B.
My Love
"My Love" is a 2006 electro-R&B single by Justin Timberlake featuring T.I., known for its futuristic production by Timbaland and its critical and commercial success.
-
C.
My Love
"My Love" is a soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
-
D.
My Love
"My Love" is a 2022 synth-driven, emotionally charged song by English indie rock band Florence and the Machine, known for its soaring vocals and dance-inflected production.
-
E.
My Love
"My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356b95c888190a84bf4a9b2c60aa6 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6377154bc819099362e8b28698dbe |
completed | March 15, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:35 p.m.