Triple
T10715878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobody Wants to Be Lonely |
E252665
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Franglen
Franglen is a songwriter best known for co-writing the pop ballad "Nobody Wants to Be Lonely."
|
E881169
|
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: Franglen | Statement: [Nobody Wants to Be Lonely, writer, Franglen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franglen Context triple: [Nobody Wants to Be Lonely, writer, Franglen]
-
A.
Frant
Frant is a village and civil parish in East Sussex, England, known for its historic church, traditional village green, and rural Wealden countryside setting.
-
B.
Frafra
Frafra are an ethnic group of northern Ghana, known for their Gurunsi-related language, distinctive mud architecture, and rich agricultural and craft traditions.
-
C.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
D.
Foel-fras
Foel-fras is a prominent mountain in the Carneddau range of Snowdonia, North Wales, known for its broad grassy summit and extensive views.
-
E.
Farange
Farange is the family name of Ida Farange, a character in Henry James’s novel "What Maisie Knew."
- 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: Franglen Triple: [Nobody Wants to Be Lonely, writer, Franglen]
Generated description
Franglen is a songwriter best known for co-writing the pop ballad "Nobody Wants to Be Lonely."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franglen Target entity description: Franglen is a songwriter best known for co-writing the pop ballad "Nobody Wants to Be Lonely."
-
A.
Frant
Frant is a village and civil parish in East Sussex, England, known for its historic church, traditional village green, and rural Wealden countryside setting.
-
B.
Frafra
Frafra are an ethnic group of northern Ghana, known for their Gurunsi-related language, distinctive mud architecture, and rich agricultural and craft traditions.
-
C.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
D.
Foel-fras
Foel-fras is a prominent mountain in the Carneddau range of Snowdonia, North Wales, known for its broad grassy summit and extensive views.
-
E.
Farange
Farange is the family name of Ida Farange, a character in Henry James’s novel "What Maisie Knew."
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3320448190899c56b02a7f5ffa |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9991f650881908d8db6e44b2c4543 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e86e198819080f71400295a31e7 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.