Triple
T10819397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Beyer |
E255323
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Megan Beyer
Megan Beyer is an American journalist and civic leader known for her work in cultural diplomacy, gender equality, and public policy initiatives.
|
E887778
|
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: Megan Beyer | Statement: [Don Beyer, spouse, Megan Beyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Beyer Context triple: [Don Beyer, spouse, Megan Beyer]
-
A.
Megan Gustafson
Megan Gustafson is an American professional basketball player and former Iowa Hawkeyes star known for her dominant post play and national player of the year honors in college.
-
B.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
-
C.
Megan Foster
Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
-
D.
Bethany Balcer
Bethany Balcer is an American professional soccer forward known for her prolific goal scoring in the National Women's Soccer League.
-
E.
Kirsten Beyer
Kirsten Beyer is an American author and television writer best known for her work on Star Trek novels and for helping develop and write modern Star Trek series such as Star Trek: Discovery and Star Trek: Picard.
- 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: Megan Beyer Triple: [Don Beyer, spouse, Megan Beyer]
Generated description
Megan Beyer is an American journalist and civic leader known for her work in cultural diplomacy, gender equality, and public policy initiatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megan Beyer Target entity description: Megan Beyer is an American journalist and civic leader known for her work in cultural diplomacy, gender equality, and public policy initiatives.
-
A.
Megan Gustafson
Megan Gustafson is an American professional basketball player and former Iowa Hawkeyes star known for her dominant post play and national player of the year honors in college.
-
B.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
-
C.
Megan Foster
Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
-
D.
Bethany Balcer
Bethany Balcer is an American professional soccer forward known for her prolific goal scoring in the National Women's Soccer League.
-
E.
Kirsten Beyer
Kirsten Beyer is an American author and television writer best known for her work on Star Trek novels and for helping develop and write modern Star Trek series such as Star Trek: Discovery and Star Trek: Picard.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734492be88190874ea0ba4d0fa643 |
completed | April 9, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8569178481909474e939a3e4c217 |
completed | April 14, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_69de8955b9d8819086ff98efbff6c7a0 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f4a318c819086559fd53506ab29 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.