Triple
T11556175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Fabricius |
E274022
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object |
von Hohenfall
Von Hohenfall is a noble honorific associated with Philip Fabricius, reflecting his elevated social status and lineage.
|
E932935
|
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: von Hohenfall | Statement: [Philip Fabricius, honorificTitle, von Hohenfall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Hohenfall Context triple: [Philip Fabricius, honorificTitle, von Hohenfall]
-
A.
Hohenroth
Hohenroth is a municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural setting near the Rhön Mountains.
-
B.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
C.
Falkenfels
Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
-
D.
Walhorn
Walhorn is a village in the municipality of Lontzen in eastern Belgium, known for its rural character and historical setting near the German border.
-
E.
Count of Hohenstein
Count of Hohenstein is a noble title historically associated with the German aristocracy and notably borne by Francis, Duke of Teck, the father of Queen Mary of the United Kingdom.
- 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: von Hohenfall Triple: [Philip Fabricius, honorificTitle, von Hohenfall]
Generated description
Von Hohenfall is a noble honorific associated with Philip Fabricius, reflecting his elevated social status and lineage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Hohenfall Target entity description: Von Hohenfall is a noble honorific associated with Philip Fabricius, reflecting his elevated social status and lineage.
-
A.
Hohenroth
Hohenroth is a municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural setting near the Rhön Mountains.
-
B.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
C.
Falkenfels
Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
-
D.
Walhorn
Walhorn is a village in the municipality of Lontzen in eastern Belgium, known for its rural character and historical setting near the German border.
-
E.
Count of Hohenstein
Count of Hohenstein is a noble title historically associated with the German aristocracy and notably borne by Francis, Duke of Teck, the father of Queen Mary of the United Kingdom.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a86be308190973fea5d7db8ba9d |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e865c3008190bc2f04a1048f2fed |
completed | April 21, 2026, 3 a.m. |
| NEDg | Description generation | batch_69e6ef93e7d88190af3853b82de23c1b |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f9144afc819081ee7f78e32ad39a |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.