Triple

T22838415
Position Surface form Disambiguated ID Type / Status
Subject I.Q. E566008 entity
Predicate hasCharacter P2308 FINISHED
Object Nathan Liebknecht
Nathan Liebknecht is a character from the 1994 comedy film "I.Q.," which centers on a romantic plot involving Albert Einstein and his eccentric circle.
E1556511 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: Nathan Liebknecht | Statement: [I.Q., hasCharacter, Nathan Liebknecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Liebknecht
Context triple: [I.Q., hasCharacter, Nathan Liebknecht]
  • A. Nicholas Schiefer
    Nicholas Schiefer is a computer scientist and entrepreneur best known as a co-founder of the AI safety and research company Anthropic.
  • B. Nick Thiel
    Nick Thiel is a television producer and writer best known for his work as an executive producer on the crime-comedy series "White Collar."
  • C. Michael Thiel
    Michael Thiel is an individual notable enough to be specifically distinguished from others sharing the surname Thiel.
  • D. Lukas Ettlin
    Lukas Ettlin is a Swiss-born cinematographer and director known for his work on feature films and television series, including action and genre projects.
  • E. Matthias Zell
    Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
  • 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: Nathan Liebknecht
Triple: [I.Q., hasCharacter, Nathan Liebknecht]
Generated description
Nathan Liebknecht is a character from the 1994 comedy film "I.Q.," which centers on a romantic plot involving Albert Einstein and his eccentric circle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nathan Liebknecht
Target entity description: Nathan Liebknecht is a character from the 1994 comedy film "I.Q.," which centers on a romantic plot involving Albert Einstein and his eccentric circle.
  • A. Nicholas Schiefer
    Nicholas Schiefer is a computer scientist and entrepreneur best known as a co-founder of the AI safety and research company Anthropic.
  • B. Nick Thiel
    Nick Thiel is a television producer and writer best known for his work as an executive producer on the crime-comedy series "White Collar."
  • C. Michael Thiel
    Michael Thiel is an individual notable enough to be specifically distinguished from others sharing the surname Thiel.
  • D. Lukas Ettlin
    Lukas Ettlin is a Swiss-born cinematographer and director known for his work on feature films and television series, including action and genre projects.
  • E. Matthias Zell
    Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8244dc819089c0a7525fb512ab completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7b3aae48190bb2785a223d135a2 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8bb77bc81909c5422f9d73c1e70 completed May 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba94752c48190a8892cac5ef862b2 completed May 19, 2026, 12:05 a.m.
Created at: April 17, 2026, 3:35 p.m.