Triple
T2245173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodgers and Hammerstein |
E49485
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | If I Loved You |
E66292
|
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: If I Loved You | Statement: [Rodgers and Hammerstein, wroteSong, If I Loved You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If I Loved You Context triple: [Rodgers and Hammerstein, wroteSong, If I Loved You]
-
A.
If I Loved You
chosen
"If I Loved You" is a classic romantic song from the 1945 Rodgers and Hammerstein musical "Carousel," renowned for its lyrical exploration of unspoken love.
-
B.
Why I Love You
"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.
-
C.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
D.
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.
-
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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0e8d5648190915ff689c7ca42bc |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1284d0819093b041ede90d4c53 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.