Triple
T22432203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earthworks |
E554528
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mark Mondesir
Mark Mondesir is a British jazz drummer renowned for his virtuosic technique and work with leading contemporary jazz and fusion artists.
|
E1539556
|
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: Mark Mondesir | Statement: [Earthworks, hasMember, Mark Mondesir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Mondesir Context triple: [Earthworks, hasMember, Mark Mondesir]
-
A.
Todd Mondor
Todd Mondor is a Canadian academic and administrator who serves as the president of the University of Winnipeg.
-
B.
Michael Derosier
Michael Derosier is a musician best known as the drummer for the rock band Heart during their classic 1970s and early 1980s era.
-
C.
Andrew Sarlo
Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
-
D.
Michael Fessier
Michael Fessier was an American screenwriter and author known for his work on Hollywood films in the 1930s and 1940s, often contributing to romantic comedies and musicals.
-
E.
Michael LeSieur
Michael LeSieur is an American screenwriter known for his work on comedy films, including co-writing the 2018 animated adaptation of Dr. Seuss's "The Grinch."
- 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: Mark Mondesir Triple: [Earthworks, hasMember, Mark Mondesir]
Generated description
Mark Mondesir is a British jazz drummer renowned for his virtuosic technique and work with leading contemporary jazz and fusion artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Mondesir Target entity description: Mark Mondesir is a British jazz drummer renowned for his virtuosic technique and work with leading contemporary jazz and fusion artists.
-
A.
Todd Mondor
Todd Mondor is a Canadian academic and administrator who serves as the president of the University of Winnipeg.
-
B.
Michael Derosier
Michael Derosier is a musician best known as the drummer for the rock band Heart during their classic 1970s and early 1980s era.
-
C.
Andrew Sarlo
Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
-
D.
Michael Fessier
Michael Fessier was an American screenwriter and author known for his work on Hollywood films in the 1930s and 1940s, often contributing to romantic comedies and musicals.
-
E.
Michael LeSieur
Michael LeSieur is an American screenwriter known for his work on comedy films, including co-writing the 2018 animated adaptation of Dr. Seuss's "The Grinch."
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b124d0c608190838ee9a61a220786 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14a059e4819095a3d467c469e783 |
completed | May 18, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b15696e588190a2c76b0a4af285a4 |
completed | May 18, 2026, 1:34 p.m. |
Created at: April 16, 2026, 8:47 p.m.