Triple

T5106968
Position Surface form Disambiguated ID Type / Status
Subject Lothar Rendulic E115120 entity
Predicate givenName P17 FINISHED
Object Lothar
Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
 E495297 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: Lothar | Statement: [Lothar Rendulic, givenName, Lothar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lothar
Context triple: [Lothar Rendulic, givenName, Lothar]
  • A. Lothar König
    Lothar König was a German Jesuit priest and member of the anti-Nazi resistance group associated with the Kreisau Circle during World War II.
  • B. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • C. Eberhard
    Eberhard is a German masculine given name of Old High German origin, traditionally meaning "strong boar" or "brave boar."
  • D. Otto of Rheinfelden
    Otto of Rheinfelden was an 11th-century German nobleman and duke, notable as the son of anti-king Rudolf of Rheinfelden during the Investiture Controversy in the Holy Roman Empire.
  • E. Aribert
    Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
  • 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: Lothar
Triple: [Lothar Rendulic, givenName, Lothar]
Generated description
Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lothar
Target entity description: Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
  • A. Lothar König
    Lothar König was a German Jesuit priest and member of the anti-Nazi resistance group associated with the Kreisau Circle during World War II.
  • B. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • C. Eberhard
    Eberhard is a German masculine given name of Old High German origin, traditionally meaning "strong boar" or "brave boar."
  • D. Otto of Rheinfelden
    Otto of Rheinfelden was an 11th-century German nobleman and duke, notable as the son of anti-king Rudolf of Rheinfelden during the Investiture Controversy in the Holy Roman Empire.
  • E. Aribert
    Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75a8ee7881908876859402911e5a completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec36fe8dc8190a391547043d28e11 completed March 21, 2026, 4:12 p.m.
NEDg Description generation batch_69bec506d5b88190bcf6e7cb5f602c2f completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec5ae111c8190914e93dc1680d36e completed March 21, 2026, 4:22 p.m.
Created at: March 20, 2026, 1:41 p.m.