Triple

T21433403
Position Surface form Disambiguated ID Type / Status
Subject August Bebel E528746 entity
Predicate familyName P18 FINISHED
Object Bebel
Bebel is a German surname most famously associated with August Bebel, a prominent 19th-century socialist politician and co-founder of the Social Democratic Party of Germany.
 E1483439 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: Bebel | Statement: [August Bebel, familyName, Bebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bebel
Context triple: [August Bebel, familyName, Bebel]
  • A. Bebel
    Bebel is the Brazilian-American singer and songwriter Bebel Gilberto, known for her modern bossa nova and electronic-influenced music.
  • B. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • C. Bimba
    Bimba is a central character in the French thriller film "The Wages of Fear," known as one of the desperate men who undertake a perilous mission to transport nitroglycerin.
  • D. Bebbi
    Bebbi is a popular nickname for FC Basel, one of Switzerland’s most successful and passionately supported football clubs.
  • E. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • 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: Bebel
Triple: [August Bebel, familyName, Bebel]
Generated description
Bebel is a German surname most famously associated with August Bebel, a prominent 19th-century socialist politician and co-founder of the Social Democratic Party of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bebel
Target entity description: Bebel is a German surname most famously associated with August Bebel, a prominent 19th-century socialist politician and co-founder of the Social Democratic Party of Germany.
  • A. Bebel
    Bebel is the Brazilian-American singer and songwriter Bebel Gilberto, known for her modern bossa nova and electronic-influenced music.
  • B. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • C. Bimba
    Bimba is a central character in the French thriller film "The Wages of Fear," known as one of the desperate men who undertake a perilous mission to transport nitroglycerin.
  • D. Bebbi
    Bebbi is a popular nickname for FC Basel, one of Switzerland’s most successful and passionately supported football clubs.
  • E. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813fe2108190a4193f69667fe79e completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2ae19a08190bdb9c07c31751bf4 completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c36e90dc8190b5628ddef17c9796 completed May 17, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_6a09c3e4d2c881908b3438eebbd409f0 completed May 17, 2026, 1:34 p.m.
Created at: April 16, 2026, 5:59 p.m.