Triple

T17284807
Position Surface form Disambiguated ID Type / Status
Subject Monika Hohlmeier E419625 entity
Predicate familyName P18 FINISHED
Object Hohlmeier
Hohlmeier is a German surname most prominently associated with Monika Hohlmeier, a Bavarian politician and Member of the European Parliament.
E1260555 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: Hohlmeier | Statement: [Monika Hohlmeier, familyName, Hohlmeier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohlmeier
Context triple: [Monika Hohlmeier, familyName, Hohlmeier]
  • A. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • B. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • C. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • D. Guldenthaler
    Guldenthaler is a historical gold coin variant of the thaler used in parts of Europe.
  • E. Steindorf
    Steindorf is a small municipality in the Bavarian district of Aichach-Friedberg in southern 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: Hohlmeier
Triple: [Monika Hohlmeier, familyName, Hohlmeier]
Generated description
Hohlmeier is a German surname most prominently associated with Monika Hohlmeier, a Bavarian politician and Member of the European Parliament.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hohlmeier
Target entity description: Hohlmeier is a German surname most prominently associated with Monika Hohlmeier, a Bavarian politician and Member of the European Parliament.
  • A. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • B. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • C. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • D. Guldenthaler
    Guldenthaler is a historical gold coin variant of the thaler used in parts of Europe.
  • E. Steindorf
    Steindorf is a small municipality in the Bavarian district of Aichach-Friedberg in southern 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332cabdc8190bbc711ab806d53bf completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017955448481909c2464a14c2a9799 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a017a193f6881908f39596cb235111f completed May 11, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a017b5045d08190b7c7409960f1438c completed May 11, 2026, 6:46 a.m.
Created at: April 10, 2026, 5:40 a.m.