Triple
T8603293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Schlachtenhaufen |
E203731
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Schlachtenhaufen
Schlachtenhaufen is a German-language surname, notably borne by individuals such as Stefan Schlachtenhaufen.
|
E744901
|
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: Schlachtenhaufen | Statement: [Stefan Schlachtenhaufen, familyName, Schlachtenhaufen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlachtenhaufen Context triple: [Stefan Schlachtenhaufen, familyName, Schlachtenhaufen]
-
A.
The Killing Ground
The Killing Ground is a thriller novel by Jack Higgins featuring his recurring character Sean Dillon in a high-stakes tale of terrorism, kidnapping, and covert operations.
-
B.
Der Heer
Der Heer is a character in the science fiction novel "Contact" by Carl Sagan.
-
C.
Volkssturm
The Volkssturm was a German national militia formed in the final months of World War II, composed largely of older men and boys conscripted for last-ditch home defense of the Third Reich.
-
D.
Hausmannsturm
Hausmannsturm is a historic tower in Dresden that serves as a prominent landmark and viewing point associated with the city’s royal residence complex.
-
E.
Otto's Army
Otto's Army is the passionate student cheering section that supports the Syracuse Orange men's basketball team at their home games.
- 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: Schlachtenhaufen Triple: [Stefan Schlachtenhaufen, familyName, Schlachtenhaufen]
Generated description
Schlachtenhaufen is a German-language surname, notably borne by individuals such as Stefan Schlachtenhaufen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schlachtenhaufen Target entity description: Schlachtenhaufen is a German-language surname, notably borne by individuals such as Stefan Schlachtenhaufen.
-
A.
The Killing Ground
The Killing Ground is a thriller novel by Jack Higgins featuring his recurring character Sean Dillon in a high-stakes tale of terrorism, kidnapping, and covert operations.
-
B.
Der Heer
Der Heer is a character in the science fiction novel "Contact" by Carl Sagan.
-
C.
Volkssturm
The Volkssturm was a German national militia formed in the final months of World War II, composed largely of older men and boys conscripted for last-ditch home defense of the Third Reich.
-
D.
Hausmannsturm
Hausmannsturm is a historic tower in Dresden that serves as a prominent landmark and viewing point associated with the city’s royal residence complex.
-
E.
Otto's Army
Otto's Army is the passionate student cheering section that supports the Syracuse Orange men's basketball team at their home games.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46dc23448190a5eb63455578427e |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f8dfa4819080c8ed475a84be41 |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69cea9d0dad0819095134f6f8cafb4c0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa7025388190a3f17aca46d4858e |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:24 p.m.