Triple
T8690660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bebe Rexha |
E206278
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Got You (song) |
E750682
|
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 Got You (song) | Statement: [Bebe Rexha, notableWork, I Got You (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Got You (song) Context triple: [Bebe Rexha, notableWork, I Got You (song)]
-
A.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
B.
I Got You
chosen
"I Got You" is a pop song by American singer Bebe Rexha, known for its catchy chorus and emotional lyrics about loyalty and support in a relationship.
-
C.
I Got You (Always and Forever)
"I Got You (Always and Forever)" is a song by Chance the Rapper featured on his debut studio album "The Big Day."
-
D.
I'll Get You
"I'll Get You" is a 1963 Beatles song written primarily by John Lennon and Paul McCartney, notable as an early example of their close-harmony, Merseybeat style.
-
E.
You Got It
"You Got It" is a 1989 rock-pop song by Roy Orbison, released posthumously and celebrated as one of his signature late-career hits.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5735ffdc819094126e2698f98511 |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf288acb348190829e149a9089a0a1 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:33 p.m.