Triple
T13931378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach House |
E334999
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Bang |
E838928
|
NE FINISHED |
How this triple was built (2 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: Bang | Statement: [Beach House, hasTrack, Bang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bang Context triple: [Beach House, hasTrack, Bang]
-
A.
Bang
Bang is the given name of Emperor Gaozu of Han, the founder and first emperor of China’s Han dynasty.
-
B.
Bang
chosen
"Bang" is a hit pop single by Brazilian singer Anitta, known for its catchy beat, bold visuals, and role in boosting her international popularity.
-
C.
Grande
Grande is the surname of American pop singer and actress Ariana Grande, widely recognized as one of the most influential contemporary vocalists in popular music.
-
D.
Brun
Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
-
E.
Bron
Bron is a British actress and writer known for her work in film, television, and radio since the 1960s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8452648190b7392d75eb1ca874 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:16 p.m.