Triple
T8135419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Fast |
E189957
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Hessian
"The Hessian" is a historical novel by American writer Howard Fast that explores the moral and human complexities surrounding a captured German mercenary during the American Revolutionary War.
|
E714189
|
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: The Hessian | Statement: [Howard Fast, notableWork, The Hessian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hessian Context triple: [Howard Fast, notableWork, The Hessian]
-
A.
Hessian
Hessian is a West Central German dialect spoken primarily in the German state of Hesse and surrounding areas.
-
B.
Hensel
Hensel is a German surname most notably associated with mathematician Kurt Hensel, known for introducing p-adic numbers.
-
C.
Ouvrage Hackenberg
Ouvrage Hackenberg is one of the largest and most significant Maginot Line fortifications in northeastern France, now preserved as a military museum and historical site.
-
D.
Risch
Risch is a Swiss municipality in the canton of Zug, known for its lakeside location and residential communities along Lake Zug.
-
E.
Hurwitz
Hurwitz is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across fields such as mathematics, music, and law.
- 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: The Hessian Triple: [Howard Fast, notableWork, The Hessian]
Generated description
"The Hessian" is a historical novel by American writer Howard Fast that explores the moral and human complexities surrounding a captured German mercenary during the American Revolutionary War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Hessian Target entity description: "The Hessian" is a historical novel by American writer Howard Fast that explores the moral and human complexities surrounding a captured German mercenary during the American Revolutionary War.
-
A.
Hessian
Hessian is a West Central German dialect spoken primarily in the German state of Hesse and surrounding areas.
-
B.
Hensel
Hensel is a German surname most notably associated with mathematician Kurt Hensel, known for introducing p-adic numbers.
-
C.
Ouvrage Hackenberg
Ouvrage Hackenberg is one of the largest and most significant Maginot Line fortifications in northeastern France, now preserved as a military museum and historical site.
-
D.
Risch
Risch is a Swiss municipality in the canton of Zug, known for its lakeside location and residential communities along Lake Zug.
-
E.
Hurwitz
Hurwitz is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across fields such as mathematics, music, and law.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43fff6e0819086c95b571272b50c |
completed | March 31, 2026, 3:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc949065248190b67ba7aa2688903e |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc95c180188190a2d541e8ea9a4c57 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc970cf55c8190abf432ac68d6bbc3 |
completed | April 1, 2026, 3:54 a.m. |
Created at: March 30, 2026, 5:35 p.m.