Triple
T11272165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Pitiful |
E266839
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object | That's How Strong My Love Is |
E82667
|
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: That's How Strong My Love Is | Statement: [Mr. Pitiful, hasBside, That's How Strong My Love Is]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: That's How Strong My Love Is Context triple: [Mr. Pitiful, hasBside, That's How Strong My Love Is]
-
A.
That’s How Strong My Love Is
chosen
"That’s How Strong My Love Is" is a soulful love ballad famously covered by artists such as Otis Redding and Alicia Keys, celebrated for its heartfelt lyrics and emotional vocal delivery.
-
B.
Love Is Strong
"Love Is Strong" is a 1994 rock song by The Rolling Stones, known for its gritty blues-influenced sound and award-winning music video.
-
C.
How You Love Me
"How You Love Me" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*.
-
D.
My Love Is Forever
"My Love Is Forever" is a soulful pop-funk song by Prince from his 1979 self-titled album.
-
E.
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.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f43633948190b86f5603ac50ec47 |
completed | April 19, 2026, 3:26 p.m. |
Created at: April 8, 2026, 9:31 p.m.