Triple

T12063365
Position Surface form Disambiguated ID Type / Status
Subject Philip Bruns E287230 entity
Predicate familyName P18 FINISHED
Object Bruns
Bruns is a surname of German origin borne by various notable individuals across different fields.
 E965562 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: Bruns | Statement: [Philip Bruns, familyName, Bruns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bruns
Context triple: [Philip Bruns, familyName, Bruns]
  • A. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Buchner
    Buchner is a German surname most notably associated with Eduard Buchner, the Nobel Prize–winning chemist who demonstrated cell-free fermentation.
  • E. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • 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: Bruns
Triple: [Philip Bruns, familyName, Bruns]
Generated description
Bruns is a surname of German origin borne by various notable individuals across different fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bruns
Target entity description: Bruns is a surname of German origin borne by various notable individuals across different fields.
  • A. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Buchner
    Buchner is a German surname most notably associated with Eduard Buchner, the Nobel Prize–winning chemist who demonstrated cell-free fermentation.
  • E. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90440dd988190ae2b80367aceb6f7 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f654eb1881908d656009f1362ecf completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fd79da748190b3f0dd7d7a46314d completed May 2, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeaf2e48190995f282b02a9caaf completed May 2, 2026, 1:40 p.m.
Created at: April 8, 2026, 9:48 p.m.