Triple
T13059642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room for Improvement |
E329163
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Nick Brongers |
E1018769
|
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: Nick Brongers | Statement: [Room for Improvement, featuresArtist, Nick Brongers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Brongers Context triple: [Room for Improvement, featuresArtist, Nick Brongers]
-
A.
Nick Brongers
chosen
Nick Brongers is a music producer known for his work on the project "Room for Improvement."
-
B.
Martin Broones
Martin Broones was an American composer and songwriter best known for his work on film and stage music in the early to mid-20th century.
-
C.
Laurentien Brinkhorst
Laurentien Brinkhorst is a Dutch royal and former journalist who became Princess Laurentien of the Netherlands through her marriage to Prince Constantijn.
-
D.
Oliver Bokelberg
Oliver Bokelberg is a cinematographer known for his work on feature films such as the 2007 drama "The Visitor."
-
E.
Adam Pijnacker
Adam Pijnacker was a 17th-century Dutch painter known for his Italianate landscapes and association with the artistic community in Delft.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d6016984819097c999772db1e831 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:58 p.m.