Triple

T1023110
Position Surface form Disambiguated ID Type / Status
Subject Aurel Stein E22082 entity
Predicate familyName P18 FINISHED
Object Stein
Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
 E122569 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: Stein | Statement: [Aurel Stein, familyName, Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stein
Context triple: [Aurel Stein, familyName, Stein]
  • A. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • B. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • C. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • D. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • E. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 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: Stein
Triple: [Aurel Stein, familyName, Stein]
Generated description
Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stein
Target entity description: Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
  • A. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • B. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • C. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • D. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • E. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e0f8908190bfe0a4cd8b31dfed completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb83118819098a2b283a1cbf8d6 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3e1821048190ad726b265c154abc completed March 7, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e7f51fc81908e067a66e2714a50 completed March 7, 2026, 3:04 p.m.
Created at: March 1, 2026, 7:41 p.m.