Triple
T2738003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine Towne |
E60675
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E295593
|
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: [Katharine Towne, 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: [Katharine Towne, notableWork, Tell Me You Love Me]
-
A.
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."
-
B.
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.
-
C.
Let Me Love You
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
D.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
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. 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: [Katharine Towne, notableWork, Tell Me You Love Me]
Generated description
Tell Me You Love Me is a television drama series in which actress Katharine Towne appears in a notable role.
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 television drama series in which actress Katharine Towne appears in a notable role.
-
A.
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."
-
B.
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.
-
C.
Let Me Love You
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
D.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
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. 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb147a588190829b74fe05b3a114 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbc607d88190bc35ce56ac26dbf9 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbce109f48190be1a31d9300dbee6 |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbda490ac8190bb12598e26b91677 |
completed | March 10, 2026, 6:43 a.m. |
Created at: March 6, 2026, 9:56 p.m.