Triple
T3757821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Angels |
E82089
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Jeff McIlwain
Jeff McIlwain is an electronic music producer and film composer best known for his work under the moniker Lusine, blending ambient, techno, and experimental sounds.
|
E433885
|
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: Jeff McIlwain | Statement: [Snow Angels, composer, Jeff McIlwain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff McIlwain Context triple: [Snow Angels, composer, Jeff McIlwain]
-
A.
Martin McKinney
Martin McKinney is a music producer best known for his work on The Weeknd’s hit album "Starboy."
-
B.
Don McGuire
Don McGuire was an American screenwriter, director, and actor best known for co-writing the story that inspired the acclaimed comedy film "Tootsie."
-
C.
Rob Mullens
Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
-
D.
Dorrell McGowan
Dorrell McGowan was an American screenwriter known for his work on early Western films, including projects with prominent cowboy stars.
-
E.
Dale Hunter
Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
- 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: Jeff McIlwain Triple: [Snow Angels, composer, Jeff McIlwain]
Generated description
Jeff McIlwain is an electronic music producer and film composer best known for his work under the moniker Lusine, blending ambient, techno, and experimental sounds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff McIlwain Target entity description: Jeff McIlwain is an electronic music producer and film composer best known for his work under the moniker Lusine, blending ambient, techno, and experimental sounds.
-
A.
Martin McKinney
Martin McKinney is a music producer best known for his work on The Weeknd’s hit album "Starboy."
-
B.
Don McGuire
Don McGuire was an American screenwriter, director, and actor best known for co-writing the story that inspired the acclaimed comedy film "Tootsie."
-
C.
Rob Mullens
Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
-
D.
Dorrell McGowan
Dorrell McGowan was an American screenwriter known for his work on early Western films, including projects with prominent cowboy stars.
-
E.
Dale Hunter
Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc04d348190b0e4a90d18bdd160 |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db641e608190b9d5b190468c501f |
completed | March 14, 2026, 10:04 p.m. |
| NEDg | Description generation | batch_69b5dbff26d081909b22ab4e050bb972 |
completed | March 14, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dfad9f688190b74ddb2ab4c72496 |
completed | March 14, 2026, 10:22 p.m. |
Created at: March 8, 2026, 3:35 p.m.