Triple
T22311081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James McAlister |
E551513
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Damien Jurado |
E856445
|
NE FINISHED |
How this triple was built (2 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: Damien Jurado | Statement: [James McAlister, associatedAct, Damien Jurado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damien Jurado Context triple: [James McAlister, associatedAct, Damien Jurado]
-
A.
Damien Jurado
chosen
Damien Jurado is an American singer-songwriter known for his introspective, narrative-driven indie folk music and prolific catalog on labels like Sub Pop and Secretly Canadian.
-
B.
Jesse Zubot
Jesse Zubot is a Canadian violinist, composer, and producer known for his work in experimental, jazz, and film music.
-
C.
Adam Storke
Adam Storke is an American actor best known for his roles in film and television, including his prominent appearance in the miniseries adaptation of Stephen King’s "The Stand."
-
D.
Chris Carrabba
Chris Carrabba is an American singer-songwriter best known as the frontman and primary creative force behind the emo band Dashboard Confessional.
-
E.
Michael Matena
Michael Matena is a researcher in natural language processing known for his work on the T5 text-to-text transformer model.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574e7fc0819080e3e85001ab2c90 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acca39c4c8190a418ec2ff1434122 |
completed | May 18, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.