Triple
T5783165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demi Lovato |
E128208
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tell Me You Love Me
"Tell Me You Love Me" is a soulful pop and R&B song by Demi Lovato, known for its powerful vocals and emotional exploration of vulnerability and love.
|
E546786
|
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: Tell Me You Love Me | Statement: [Demi Lovato, notableWork, Tell Me You Love Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell Me You Love Me Context triple: [Demi Lovato, notableWork, Tell Me You Love Me]
-
A.
Tell Me You Love Me
Tell Me You Love Me is a television drama series in which actress Katharine Towne appears in a notable role.
-
B.
Don’t Tell Me You Love Me
"Don’t Tell Me You Love Me" is a song featured on Big Sean’s debut studio album "Finally Famous."
-
C.
Do You Love Me
"Do You Love Me" is a 1962 Motown hit song, originally recorded by The Contours, that became famous for its energetic vocals and dance-oriented rhythm.
-
D.
How You Love Me
"How You Love Me" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*.
-
E.
The Way You Love Me
"The Way You Love Me" is a hit country-pop song by American singer Faith Hill, known for its upbeat tempo and romantic lyrics from her album "Breathe."
- 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: Tell Me You Love Me Triple: [Demi Lovato, notableWork, Tell Me You Love Me]
Generated description
"Tell Me You Love Me" is a soulful pop and R&B song by Demi Lovato, known for its powerful vocals and emotional exploration of vulnerability and love.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tell Me You Love Me Target entity description: "Tell Me You Love Me" is a soulful pop and R&B song by Demi Lovato, known for its powerful vocals and emotional exploration of vulnerability and love.
-
A.
Tell Me You Love Me
Tell Me You Love Me is a television drama series in which actress Katharine Towne appears in a notable role.
-
B.
Don’t Tell Me You Love Me
"Don’t Tell Me You Love Me" is a song featured on Big Sean’s debut studio album "Finally Famous."
-
C.
Do You Love Me
"Do You Love Me" is a 1962 Motown hit song, originally recorded by The Contours, that became famous for its energetic vocals and dance-oriented rhythm.
-
D.
How You Love Me
"How You Love Me" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*.
-
E.
The Way You Love Me
"The Way You Love Me" is a hit country-pop song by American singer Faith Hill, known for its upbeat tempo and romantic lyrics from her album "Breathe."
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a184870819084251554eae1e33c |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098112a1c8190a8aacb208c544959 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098f32f7081908d9306afc30147a1 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0996fb9148190ae8c09f4816d00b8 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:50 p.m.