Triple
T1396091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Herzog |
E30668
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Herzog
Herzog is a German surname borne by numerous notable figures in politics, arts, and academia, and is also the title of a celebrated novel by Saul Bellow.
|
E161955
|
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: Herzog | Statement: [Roman Herzog, familyName, Herzog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herzog Context triple: [Roman Herzog, familyName, Herzog]
-
A.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Leopold
Leopold is a masculine given name of Germanic origin historically borne by various European rulers, saints, and notable figures.
-
C.
Ludwig Crüwell
Ludwig Crüwell was a German Wehrmacht general and Afrika Korps commander during World War II, noted for his leadership in the North African campaign.
-
D.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
E.
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
- 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: Herzog Triple: [Roman Herzog, familyName, Herzog]
Generated description
Herzog is a German surname borne by numerous notable figures in politics, arts, and academia, and is also the title of a celebrated novel by Saul Bellow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herzog Target entity description: Herzog is a German surname borne by numerous notable figures in politics, arts, and academia, and is also the title of a celebrated novel by Saul Bellow.
-
A.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Leopold
Leopold is a masculine given name of Germanic origin historically borne by various European rulers, saints, and notable figures.
-
C.
Ludwig Crüwell
Ludwig Crüwell was a German Wehrmacht general and Afrika Korps commander during World War II, noted for his leadership in the North African campaign.
-
D.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
E.
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37fd6e0819084d610ef041db3af |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace56e32608190a03485d7cb5941a8 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace6527e088190a1ea0ec178b4e0ce |
completed | March 8, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6b543ec819080a5ddeed0273644 |
completed | March 8, 2026, 3:02 a.m. |
Created at: March 1, 2026, 7:59 p.m.