Triple
T3128923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shouting Matches |
E65362
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Brian Moen
Brian Moen is an American drummer and musician best known for his work with the indie rock band The Shouting Matches.
|
E359647
|
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: Brian Moen | Statement: [The Shouting Matches, hasMember, Brian Moen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Moen Context triple: [The Shouting Matches, hasMember, Brian Moen]
-
A.
Kurt Johnstad
Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
-
B.
Warren Skaaren
Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
-
C.
Ralph Høibakk
Ralph Høibakk is a Norwegian mountaineer and engineer known for his pioneering high-altitude climbs, including the first ascent of the Himalayan peak Tirich Mir.
-
D.
Tim Lovestedt
Tim Lovestedt is a screenwriter known for his work on the military drama film "Megan Leavey."
-
E.
Michael Larsen
Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
- 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: Brian Moen Triple: [The Shouting Matches, hasMember, Brian Moen]
Generated description
Brian Moen is an American drummer and musician best known for his work with the indie rock band The Shouting Matches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Moen Target entity description: Brian Moen is an American drummer and musician best known for his work with the indie rock band The Shouting Matches.
-
A.
Kurt Johnstad
Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
-
B.
Warren Skaaren
Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
-
C.
Ralph Høibakk
Ralph Høibakk is a Norwegian mountaineer and engineer known for his pioneering high-altitude climbs, including the first ascent of the Himalayan peak Tirich Mir.
-
D.
Tim Lovestedt
Tim Lovestedt is a screenwriter known for his work on the military drama film "Megan Leavey."
-
E.
Michael Larsen
Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada548123c8190bcfe780c65941585 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3608e261081908b0633bf11ea655b |
completed | March 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69b3614702348190bd35c37d2059312f |
completed | March 13, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362451b848190a2fe80a17ab8f9c3 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:04 p.m.