Triple

T5166184
Position Surface form Disambiguated ID Type / Status
Subject Bela Lugosi E116562 entity
Predicate spouse P13 FINISHED
Object Hope Lininger
Hope Lininger was the fourth and final wife of classic horror film actor Bela Lugosi.
 E500236 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: Hope Lininger | Statement: [Bela Lugosi, spouse, Hope Lininger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hope Lininger
Context triple: [Bela Lugosi, spouse, Hope Lininger]
  • A. Rachel Line Mellinger
    Rachel Line Mellinger was the wife of James R. Schlesinger, the former U.S. Secretary of Defense and CIA Director.
  • B. Lily Stumpf
    Lily Stumpf was the wife of Swiss-German painter Paul Klee and a trained pianist who supported and influenced his artistic career.
  • C. Lauren Hartke
    Lauren Hartke is the introspective performance artist protagonist of Don DeLillo’s novel "The Body Artist," known for her intense exploration of time, identity, and the body.
  • D. Lindsey Nelson
    Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
  • E. Zoe Emily Winkler
    Zoe Emily Winkler is the daughter of actor Henry Winkler and is known for her work as a preschool teacher and education advocate.
  • 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: Hope Lininger
Triple: [Bela Lugosi, spouse, Hope Lininger]
Generated description
Hope Lininger was the fourth and final wife of classic horror film actor Bela Lugosi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hope Lininger
Target entity description: Hope Lininger was the fourth and final wife of classic horror film actor Bela Lugosi.
  • A. Rachel Line Mellinger
    Rachel Line Mellinger was the wife of James R. Schlesinger, the former U.S. Secretary of Defense and CIA Director.
  • B. Lily Stumpf
    Lily Stumpf was the wife of Swiss-German painter Paul Klee and a trained pianist who supported and influenced his artistic career.
  • C. Lauren Hartke
    Lauren Hartke is the introspective performance artist protagonist of Don DeLillo’s novel "The Body Artist," known for her intense exploration of time, identity, and the body.
  • D. Lindsey Nelson
    Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
  • E. Zoe Emily Winkler
    Zoe Emily Winkler is the daughter of actor Henry Winkler and is known for her work as a preschool teacher and education advocate.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792af4648190934cf2db523f6921 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed93b85188190927d448e09a46425 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedbd301088190908d050425c6cda7 completed March 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69bedc65fcdc8190bc99c0d049e4dd94 completed March 21, 2026, 5:59 p.m.
Created at: March 20, 2026, 1:44 p.m.