Triple
T22258085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foster the People |
E550142
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sit Next to Me
"Sit Next to Me" is a synth-pop song by American indie pop band Foster the People, known for its catchy melody and polished, radio-friendly production.
|
E1527275
|
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: Sit Next to Me | Statement: [Foster the People, notableWork, Sit Next to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sit Next to Me Context triple: [Foster the People, notableWork, Sit Next to Me]
-
A.
Next to Me
"Next to Me" is a song best known as a soulful, gospel-tinged pop track by Scottish singer Emeli Sandé.
-
B.
Next To Me
"Next To Me" is a popular dancehall track by Jamaican artist Popcaan, known for its melodic style and romantic lyrics.
-
C.
Standing Next to You
"Standing Next to You" is a 2023 R&B-pop single by South Korean singer Jung Kook, known for its smooth retro-inspired sound and dynamic choreography.
-
D.
Next to You
"Next to You" is a song featured on the album "Goodies" by American singer Ciara, blending R&B and pop elements.
-
E.
Be Near Me
Be Near Me is a 1985 synth-pop song by the English band ABC, known for its catchy melody and polished production.
- 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: Sit Next to Me Triple: [Foster the People, notableWork, Sit Next to Me]
Generated description
"Sit Next to Me" is a synth-pop song by American indie pop band Foster the People, known for its catchy melody and polished, radio-friendly production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sit Next to Me Target entity description: "Sit Next to Me" is a synth-pop song by American indie pop band Foster the People, known for its catchy melody and polished, radio-friendly production.
-
A.
Next to Me
"Next to Me" is a song best known as a soulful, gospel-tinged pop track by Scottish singer Emeli Sandé.
-
B.
Next To Me
"Next To Me" is a popular dancehall track by Jamaican artist Popcaan, known for its melodic style and romantic lyrics.
-
C.
Standing Next to You
"Standing Next to You" is a 2023 R&B-pop single by South Korean singer Jung Kook, known for its smooth retro-inspired sound and dynamic choreography.
-
D.
Next to You
"Next to You" is a song featured on the album "Goodies" by American singer Ciara, blending R&B and pop elements.
-
E.
Be Near Me
Be Near Me is a 1985 synth-pop song by the English band ABC, known for its catchy melody and polished production.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c4bff48190b4be83f5f7677ac8 |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab6681d5881909345d8e83791ba7d |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab6fd3a6881908ea1e8f85eb9d969 |
completed | May 18, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab791bd6c819098b3de570bd08815 |
completed | May 18, 2026, 6:54 a.m. |
Created at: April 16, 2026, 8:39 p.m.