Triple
T6246340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perspectives on Politics |
E139729
|
entity |
| Predicate | hasEditorInChief |
P19440
|
FINISHED |
| Object |
Michael Bernhard
Michael Bernhard is a political scientist known for his scholarship on democratization and for serving as editor-in-chief of the journal Perspectives on Politics.
|
E593861
|
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: Michael Bernhard | Statement: [Perspectives on Politics, hasEditorInChief, Michael Bernhard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Bernhard Context triple: [Perspectives on Politics, hasEditorInChief, Michael Bernhard]
-
A.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
-
B.
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
C.
Michael Bender
Michael Bender is a film producer best known for his work on the 1988 dark comedy fantasy film "Beetlejuice."
-
D.
Michael Bergmann
Michael Bergmann is an American analytic philosopher known for his work in epistemology, particularly on skepticism, justification, and religious epistemology.
-
E.
Michael Myerberg
Michael Myerberg was an American theatrical producer and manager best known for his influential work on mid-20th-century Broadway productions.
- 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: Michael Bernhard Triple: [Perspectives on Politics, hasEditorInChief, Michael Bernhard]
Generated description
Michael Bernhard is a political scientist known for his scholarship on democratization and for serving as editor-in-chief of the journal Perspectives on Politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Bernhard Target entity description: Michael Bernhard is a political scientist known for his scholarship on democratization and for serving as editor-in-chief of the journal Perspectives on Politics.
-
A.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
-
B.
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
C.
Michael Bender
Michael Bender is a film producer best known for his work on the 1988 dark comedy fantasy film "Beetlejuice."
-
D.
Michael Bergmann
Michael Bergmann is an American analytic philosopher known for his work in epistemology, particularly on skepticism, justification, and religious epistemology.
-
E.
Michael Myerberg
Michael Myerberg was an American theatrical producer and manager best known for his influential work on mid-20th-century Broadway productions.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631d9e648190a59ab4001f506424 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64ba0968c819091fae910b8c82879 |
completed | March 27, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69c64c5e5e5c8190b24aea7e4114daa5 |
completed | March 27, 2026, 9:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64da81a0881908fc5716aeb0e47fa |
completed | March 27, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:23 p.m.