Triple
T15196007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Projectors |
E363139
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object |
Kristin Mueller
Kristin Mueller is a musician best known for her past role as a member of the experimental indie rock band Dirty Projectors.
|
E1350366
|
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: Kristin Mueller | Statement: [Dirty Projectors, hasFormerMember, Kristin Mueller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristin Mueller Context triple: [Dirty Projectors, hasFormerMember, Kristin Mueller]
-
A.
Kirstin Bauch
Kirstin Bauch is a German politician who serves as the borough mayor of Charlottenburg-Wilmersdorf in Berlin.
-
B.
Kimberly J. Mueller
Kimberly J. Mueller is a United States federal judge who serves as the Chief Judge of the U.S. District Court for the Eastern District of California.
-
C.
Emily Friehl
Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
-
D.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
E.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
- 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: Kristin Mueller Triple: [Dirty Projectors, hasFormerMember, Kristin Mueller]
Generated description
Kristin Mueller is a musician best known for her past role as a member of the experimental indie rock band Dirty Projectors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristin Mueller Target entity description: Kristin Mueller is a musician best known for her past role as a member of the experimental indie rock band Dirty Projectors.
-
A.
Kirstin Bauch
Kirstin Bauch is a German politician who serves as the borough mayor of Charlottenburg-Wilmersdorf in Berlin.
-
B.
Kimberly J. Mueller
Kimberly J. Mueller is a United States federal judge who serves as the Chief Judge of the U.S. District Court for the Eastern District of California.
-
C.
Emily Friehl
Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
-
D.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
E.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
- 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_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_6a059fa3e4f4819098f1f7bc1f50f985 |
completed | May 14, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_6a05a17e171481908488cb40da91808b |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1f3b8908190b8295a25fff9daba |
completed | May 14, 2026, 10:20 a.m. |
Created at: April 10, 2026, 3:10 a.m.