Triple

T3101093
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Lethem E64719 entity
Predicate familyName P18 FINISHED
Object Lethem
Lethem is the surname of Jonathan Lethem, an American novelist known for blending elements of science fiction, detective fiction, and literary fiction.
 E326654 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: Lethem | Statement: [Jonathan Lethem, familyName, Lethem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lethem
Context triple: [Jonathan Lethem, familyName, Lethem]
  • A. Sranan
    Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
  • B. Calabar
    Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
  • C. Duitama
    Duitama is a Colombian city in the Andean highlands known as an important commercial and transport hub within the Boyacá region.
  • D. Berbice
    Berbice was a former Dutch and later British colony on the northern coast of South America, in what is now part of Guyana.
  • E. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • 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: Lethem
Triple: [Jonathan Lethem, familyName, Lethem]
Generated description
Lethem is the surname of Jonathan Lethem, an American novelist known for blending elements of science fiction, detective fiction, and literary fiction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lethem
Target entity description: Lethem is the surname of Jonathan Lethem, an American novelist known for blending elements of science fiction, detective fiction, and literary fiction.
  • A. Sranan
    Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
  • B. Calabar
    Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
  • C. Duitama
    Duitama is a Colombian city in the Andean highlands known as an important commercial and transport hub within the Boyacá region.
  • D. Berbice
    Berbice was a former Dutch and later British colony on the northern coast of South America, in what is now part of Guyana.
  • E. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26c76ec81908d11f82be573c518 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203809fac81908047b1139b13cb04 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b20532b7388190be5f7bcf48db6f45 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b2058d7c4c8190a44fc8745df3b1b3 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:03 p.m.