Triple
T13710752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Buffalo Mailer |
E328763
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hello Herman
Hello Herman is a drama written by John Buffalo Mailer that explores the aftermath of a school shooting and the media’s role in shaping public perception.
|
E1056567
|
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: Hello Herman | Statement: [John Buffalo Mailer, notableWork, Hello Herman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello Herman Context triple: [John Buffalo Mailer, notableWork, Hello Herman]
-
A.
Herman
Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
-
B.
Herman
Herman is a masculine given name of Germanic origin commonly used in Dutch, German, and Scandinavian contexts.
-
C.
Herman
Herman is the given first name of the American blues singer and harmonica player Junior Parker.
-
D.
Herman
Herman is a person known by the given name Herman, associated with the role or title of Junior Cook.
-
E.
Herman
Herman is the given first name of American actor Ray Walston, known for his roles in "My Favorite Martian" and "Fast Times at Ridgemont High."
- 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: Hello Herman Triple: [John Buffalo Mailer, notableWork, Hello Herman]
Generated description
Hello Herman is a drama written by John Buffalo Mailer that explores the aftermath of a school shooting and the media’s role in shaping public perception.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hello Herman Target entity description: Hello Herman is a drama written by John Buffalo Mailer that explores the aftermath of a school shooting and the media’s role in shaping public perception.
-
A.
Herman
Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
-
B.
Herman
Herman is the given first name of American actor Ray Walston, known for his roles in "My Favorite Martian" and "Fast Times at Ridgemont High."
-
C.
Herman
Herman is a masculine given name of Germanic origin commonly used in Dutch, German, and Scandinavian contexts.
-
D.
Herman
Herman is the given first name of the American blues singer and harmonica player Junior Parker.
-
E.
Herman
Herman is a person known by the given name Herman, associated with the role or title of Junior Cook.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d54a68081908df25edf6d5df362 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e1a90408190936cb71e567e10aa |
completed | May 3, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79ee74ea48190a4c753b12bb9190e |
completed | May 3, 2026, 7:15 p.m. |
Created at: April 9, 2026, 9:54 p.m.