Triple
T8690650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bebe Rexha |
E206278
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
I Got You
"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.
|
E750682
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Bebe Rexha, notableWork, I Got You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Got You Context triple: [Bebe Rexha, notableWork, I Got You]
-
A.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
B.
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.
-
C.
You Got Me
"You Got Me" is a Grammy-winning neo-soul/hip-hop song by The Roots featuring Erykah Badu, widely recognized for its innovative blend of live instrumentation and introspective lyricism.
-
D.
You Got Me
"You Got Me" is a song by Mariah Carey from her 2002 studio album "Charmbracelet."
-
E.
You Got Me
"You Got Me" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its heartfelt lyrics and soulful vocal delivery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: I Got You Triple: [Bebe Rexha, notableWork, I Got You]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Got You Target entity description: "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.
-
A.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
B.
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.
-
C.
You Got Me
"You Got Me" is a Grammy-winning neo-soul/hip-hop song by The Roots featuring Erykah Badu, widely recognized for its innovative blend of live instrumentation and introspective lyricism.
-
D.
You Got Me
"You Got Me" is a song by Mariah Carey from her 2002 studio album "Charmbracelet."
-
E.
You Got Me
"You Got Me" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its heartfelt lyrics and soulful vocal delivery.
- F. None of above. chosen
Provenance (5 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_69cef3df73b88190b67138ee5129de8b |
completed | April 2, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69cef52200788190a8173da1aaa4f681 |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6c109b08190bb29ce2747f3ccb7 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:33 p.m.