Triple
T5546831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falling into You |
E145428
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Love You |
E169299
|
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: I Love You | Statement: [Falling into You, hasPart, I Love You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Love You Context triple: [Falling into You, hasPart, I Love You]
-
A.
I Love You
chosen
"I Love You" is an R&B ballad by American singer Faith Evans that became one of her signature hits in the early 2000s.
-
B.
The I Love You Song
"The I Love You Song" is a poignant and emotionally charged musical number from the Broadway show *The 25th Annual Putnam County Spelling Bee*, exploring a young contestant’s complicated relationship with her parents.
-
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 an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
-
E.
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.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fdec3588190b0af7d2ca8e8ee9b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0282ace308190a714685579f2a789 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.