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.