Triple
T14046654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dropbox |
E337972
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
John Kosco
John Kosco is a musician best known as the former lead vocalist of the rock band Dropbox.
|
E1080830
|
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: John Kosco | Statement: [Dropbox, hasMember, John Kosco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Kosco Context triple: [Dropbox, hasMember, John Kosco]
-
A.
Paul Koslo
Paul Koslo was a German-Canadian character actor known for his supporting roles in 1970s and 1980s action and science fiction films.
-
B.
Mark Kohr
Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
-
C.
Mark Korven
Mark Korven is a Canadian film and television composer best known for his unsettling, atmospheric scores for horror projects such as The Witch and The Lighthouse.
-
D.
Martin Kosleck
Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
-
E.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
- 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: John Kosco Triple: [Dropbox, hasMember, John Kosco]
Generated description
John Kosco is a musician best known as the former lead vocalist of the rock band Dropbox.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Kosco Target entity description: John Kosco is a musician best known as the former lead vocalist of the rock band Dropbox.
-
A.
Paul Koslo
Paul Koslo was a German-Canadian character actor known for his supporting roles in 1970s and 1980s action and science fiction films.
-
B.
Mark Kohr
Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
-
C.
Mark Korven
Mark Korven is a Canadian film and television composer best known for his unsettling, atmospheric scores for horror projects such as The Witch and The Lighthouse.
-
D.
Martin Kosleck
Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
-
E.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd099b7788190a7c309dba450e58f |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd288bd5881908f6a442201c5beea |
completed | May 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd3ad7be8819094fc71c9f44fb4cb |
completed | May 7, 2026, 6:02 p.m. |
Created at: April 9, 2026, 10:20 p.m.