Triple
T3996164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talk That Talk |
E87101
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Drunk on Love
"Drunk on Love" is a song by Rihanna from her sixth studio album, blending emotional lyrics with a dance-pop and electronic sound.
|
E404307
|
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: Drunk on Love | Statement: [Talk That Talk, hasTrack, Drunk on Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drunk on Love Context triple: [Talk That Talk, hasTrack, Drunk on Love]
-
A.
Drunk in Love
"Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
-
B.
Drunk on You
"Drunk on You" is a popular country song by American singer Luke Bryan, known for its romantic, laid-back summer vibe and commercial success on country radio.
-
C.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
D.
Without Love
"Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
-
E.
One Night of Love
One Night of Love is a 1934 American romantic musical film starring Grace Moore that became notable for its operatic performances and critical acclaim.
- 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: Drunk on Love Triple: [Talk That Talk, hasTrack, Drunk on Love]
Generated description
"Drunk on Love" is a song by Rihanna from her sixth studio album, blending emotional lyrics with a dance-pop and electronic sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drunk on Love Target entity description: "Drunk on Love" is a song by Rihanna from her sixth studio album, blending emotional lyrics with a dance-pop and electronic sound.
-
A.
Drunk in Love
"Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
-
B.
Drunk on You
"Drunk on You" is a popular country song by American singer Luke Bryan, known for its romantic, laid-back summer vibe and commercial success on country radio.
-
C.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
D.
Without Love
"Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
-
E.
One Night of Love
One Night of Love is a 1934 American romantic musical film starring Grace Moore that became notable for its operatic performances and critical acclaim.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403f14ec8190a77189c7066676f2 |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b54112e3788190800e295a745c4689 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b541808d548190987ad1538c647664 |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:34 p.m.