Triple
T9426464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lover |
E227274
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Paper Rings
"Paper Rings" is an upbeat, romantic pop song by Taylor Swift that celebrates choosing love and commitment over material extravagance.
|
E798240
|
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: Paper Rings | Statement: [Lover, track, Paper Rings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paper Rings Context triple: [Lover, track, Paper Rings]
-
A.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
B.
Paper Bag
"Paper Bag" is a critically acclaimed song by American singer-songwriter Fiona Apple, known for its intricate lyrics and jazz-influenced piano-driven arrangement.
-
C.
Papper
Papper is one of the islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
-
D.
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
-
E.
Rings
"Rings" is a film score composed by Matthew Margeson for the 2017 supernatural horror movie of the same name.
- 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: Paper Rings Triple: [Lover, track, Paper Rings]
Generated description
"Paper Rings" is an upbeat, romantic pop song by Taylor Swift that celebrates choosing love and commitment over material extravagance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paper Rings Target entity description: "Paper Rings" is an upbeat, romantic pop song by Taylor Swift that celebrates choosing love and commitment over material extravagance.
-
A.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
B.
Paper Bag
"Paper Bag" is a critically acclaimed song by American singer-songwriter Fiona Apple, known for its intricate lyrics and jazz-influenced piano-driven arrangement.
-
C.
Papper
Papper is one of the islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
-
D.
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
-
E.
Rings
"Rings" is a film score composed by Matthew Margeson for the 2017 supernatural horror movie of the same name.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107da6aa88190a015ee4a6eea2a4a |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d1087d01b08190aa4d17241244c26c |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d109042fec819087371150d2c2cf87 |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:49 p.m.