Triple

T16037822
Position Surface form Disambiguated ID Type / Status
Subject Aleida Assmann E389012 entity
Predicate spouse P13 FINISHED
Object Jan Assmann
Jan Assmann is a German Egyptologist and cultural theorist renowned for his influential work on cultural memory and the history of religion.
E1193388 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: Jan Assmann | Statement: [Aleida Assmann, spouse, Jan Assmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Assmann
Context triple: [Aleida Assmann, spouse, Jan Assmann]
  • A. Aleida Assmann
    Aleida Assmann is a German cultural scientist and literary scholar renowned for her influential work on cultural memory and remembrance.
  • B. Geoffrey Lloyd
    Geoffrey Lloyd was a British Conservative politician who served in several ministerial roles in the mid-20th century, particularly in areas related to energy and industry.
  • C. Ali Harazim
    Ali Harazim was a prominent Tijaniyya Sufi scholar and disciple known for systematizing and transmitting the teachings of Ahmad al-Tijani.
  • D. Jean Sasson
    Jean Sasson is an American author best known for her bestselling nonfiction books about women’s lives in the Middle East, including the "Princess" series.
  • E. Harry Rapf
    Harry Rapf was an American film producer and studio executive best known for his prolific work at Metro-Goldwyn-Mayer during the early to mid-20th century.
  • 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: Jan Assmann
Triple: [Aleida Assmann, spouse, Jan Assmann]
Generated description
Jan Assmann is a German Egyptologist and cultural theorist renowned for his influential work on cultural memory and the history of religion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan Assmann
Target entity description: Jan Assmann is a German Egyptologist and cultural theorist renowned for his influential work on cultural memory and the history of religion.
  • A. Aleida Assmann
    Aleida Assmann is a German cultural scientist and literary scholar renowned for her influential work on cultural memory and remembrance.
  • B. Geoffrey Lloyd
    Geoffrey Lloyd was a British Conservative politician who served in several ministerial roles in the mid-20th century, particularly in areas related to energy and industry.
  • C. Ali Harazim
    Ali Harazim was a prominent Tijaniyya Sufi scholar and disciple known for systematizing and transmitting the teachings of Ahmad al-Tijani.
  • D. Jean Sasson
    Jean Sasson is an American author best known for her bestselling nonfiction books about women’s lives in the Middle East, including the "Princess" series.
  • E. Harry Rapf
    Harry Rapf was an American film producer and studio executive best known for his prolific work at Metro-Goldwyn-Mayer during the early to mid-20th century.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833da68881908710fb2c28e8c6d0 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe474f89c819086db832b793c15ed completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe5a4edfc8190831ddf8a4601764e completed May 10, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69ffe687c204819092a4a8de0b9d624d completed May 10, 2026, 1:59 a.m.
Created at: April 10, 2026, 4:56 a.m.