Triple
T15195997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Projectors |
E363139
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Mike Stroud |
E538181
|
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: Mike Stroud | Statement: [Dirty Projectors, hasFormerMember, Mike Stroud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Stroud Context triple: [Dirty Projectors, hasFormerMember, Mike Stroud]
-
A.
Mike Stroud
chosen
Mike Stroud is an American musician and guitarist best known as one half of the electronic rock duo Ratatat.
-
B.
Mark Strickland
Mark Strickland is a former American professional basketball player who played as a forward in the NBA during the late 1990s and early 2000s.
-
C.
Brad Strickland
Brad Strickland is an American science fiction and fantasy author known for his work on series such as "The Lewis Barnavelt" books and various media tie-in novels.
-
D.
Matt Ostrander
Matt Ostrander is a musician best known for having been a member of the American alternative rock band Blue October.
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd2bff388190881396685edd1787 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:10 a.m.