Triple

T11426615
Position Surface form Disambiguated ID Type / Status
Subject Irene Lentz E270767 entity
Predicate familyName P18 FINISHED
Object Lentz
Lentz is a surname most notably associated with Irene Lentz, an influential American fashion and costume designer in Hollywood’s Golden Age.
 E924804 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: Lentz | Statement: [Irene Lentz, familyName, Lentz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lentz
Context triple: [Irene Lentz, familyName, Lentz]
  • A. Lennertz
    Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
  • B. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • C. Ritschel
    Ritschel is a German surname best known as the maiden name of Magda Goebbels, the wife of Nazi propaganda minister Joseph Goebbels.
  • D. Lehn
    Lehn is the surname of Jean-Marie Lehn, a Nobel Prize–winning French chemist renowned for pioneering the field of supramolecular chemistry.
  • E. Eltmann
    Eltmann is a small town in the Lower Franconia region of Bavaria, Germany, situated along the Main River and known for its historic architecture and surrounding wine-growing landscape.
  • 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: Lentz
Triple: [Irene Lentz, familyName, Lentz]
Generated description
Lentz is a surname most notably associated with Irene Lentz, an influential American fashion and costume designer in Hollywood’s Golden Age.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lentz
Target entity description: Lentz is a surname most notably associated with Irene Lentz, an influential American fashion and costume designer in Hollywood’s Golden Age.
  • A. Lennertz
    Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
  • B. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • C. Ritschel
    Ritschel is a German surname best known as the maiden name of Magda Goebbels, the wife of Nazi propaganda minister Joseph Goebbels.
  • D. Lehn
    Lehn is the surname of Jean-Marie Lehn, a Nobel Prize–winning French chemist renowned for pioneering the field of supramolecular chemistry.
  • E. Eltmann
    Eltmann is a small town in the Lower Franconia region of Bavaria, Germany, situated along the Main River and known for its historic architecture and surrounding wine-growing landscape.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8c8e1988190aba5a2536dbb37cf completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.