Triple
T20123965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Blood |
E490694
|
entity |
| Predicate | hasMusicalArtistMember |
P22076
|
FINISHED |
| Object |
Dan Rominski
Dan Rominski is a musician best known as a member of the band New Blood.
|
E1418167
|
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: Dan Rominski | Statement: [New Blood, hasMusicalArtistMember, Dan Rominski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Rominski Context triple: [New Blood, hasMusicalArtistMember, Dan Rominski]
-
A.
Dan Koretzky
Dan Koretzky is an American music industry figure best known as the co-founder and driving force behind the influential independent record label Drag City.
-
B.
Paul Romanko
Paul Romanko is a musician best known as the bassist for the American metal band Shadows Fall.
-
C.
Dan Swietlik
Dan Swietlik is a film editor best known for his work on the Academy Award–winning climate change documentary "An Inconvenient Truth."
-
D.
Jerry Ostroski
Jerry Ostroski is a former American football offensive lineman best known for his NFL career with the Buffalo Bills in the 1990s and early 2000s.
-
E.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
- 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: Dan Rominski Triple: [New Blood, hasMusicalArtistMember, Dan Rominski]
Generated description
Dan Rominski is a musician best known as a member of the band New Blood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Rominski Target entity description: Dan Rominski is a musician best known as a member of the band New Blood.
-
A.
Dan Koretzky
Dan Koretzky is an American music industry figure best known as the co-founder and driving force behind the influential independent record label Drag City.
-
B.
Paul Romanko
Paul Romanko is a musician best known as the bassist for the American metal band Shadows Fall.
-
C.
Dan Swietlik
Dan Swietlik is a film editor best known for his work on the Academy Award–winning climate change documentary "An Inconvenient Truth."
-
D.
Jerry Ostroski
Jerry Ostroski is a former American football offensive lineman best known for his NFL career with the Buffalo Bills in the 1990s and early 2000s.
-
E.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674054188190a15d55a73e86d143 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843da60cc81909c3ed82b29e39250 |
completed | May 16, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a0847f4f000819087ab1d4385eab649 |
completed | May 16, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08485223948190ae840deab9f0e93a |
completed | May 16, 2026, 10:34 a.m. |
Created at: April 11, 2026, 11:30 p.m.