Triple

T11157041
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Bunge E263936 entity
Predicate familyName P18 FINISHED
Object Bunge
Bunge is a surname most notably associated with Nikolai Bunge, a prominent 19th-century Russian economist and statesman.
 E909117 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: Bunge | Statement: [Nikolai Bunge, familyName, Bunge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bunge
Context triple: [Nikolai Bunge, familyName, Bunge]
  • A. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • B. Cargill
    Cargill is a large American privately held global food and agribusiness company involved in commodities trading, food production, and agricultural services.
  • C. Archer Daniels Midland
    Archer Daniels Midland is a large American multinational food processing and commodities trading corporation.
  • D. Bunge Land
    Bunge Land is a low-lying, largely sandy Arctic island or landmass within Russia’s New Siberian Islands archipelago, known for being periodically flooded by the sea.
  • E. Hillenbrand
    Hillenbrand is a surname of German origin borne by various notable individuals in fields such as diplomacy, literature, and sports.
  • 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: Bunge
Triple: [Nikolai Bunge, familyName, Bunge]
Generated description
Bunge is a surname most notably associated with Nikolai Bunge, a prominent 19th-century Russian economist and statesman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bunge
Target entity description: Bunge is a surname most notably associated with Nikolai Bunge, a prominent 19th-century Russian economist and statesman.
  • A. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • B. Cargill
    Cargill is a large American privately held global food and agribusiness company involved in commodities trading, food production, and agricultural services.
  • C. Archer Daniels Midland
    Archer Daniels Midland is a large American multinational food processing and commodities trading corporation.
  • D. Bunge Land
    Bunge Land is a low-lying, largely sandy Arctic island or landmass within Russia’s New Siberian Islands archipelago, known for being periodically flooded by the sea.
  • E. Hillenbrand
    Hillenbrand is a surname of German origin borne by various notable individuals in fields such as diplomacy, literature, and sports.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46352e0688190924f15bc7d7ede90 completed April 19, 2026, 5:08 a.m.
NEDg Description generation batch_69e46c374ca08190a876ee68dea9b821 completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e4747bc02c81908f0782cf85667f3f completed April 19, 2026, 6:21 a.m.
Created at: April 8, 2026, 9:28 p.m.