Triple

T2978863
Position Surface form Disambiguated ID Type / Status
Subject Burroughs Corporation E80461 entity
Predicate partOf P40 FINISHED
Object BUNCH
BUNCH was an informal grouping of mainframe computer manufacturers—Burroughs, UNIVAC, NCR, Control Data Corporation, and Honeywell—that were considered IBM’s primary competitors during the 1960s and 1970s.
 E317211 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: BUNCH | Statement: [Burroughs Corporation, partOf, BUNCH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BUNCH
Context triple: [Burroughs Corporation, partOf, BUNCH]
  • A. Bun
    Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
  • B. Buc
    Buc is a commune in the Yvelines department of north-central France, located southwest of Paris near Versailles.
  • C. Buss
    Buss is a surname most notably associated with David M. Buss, an influential American evolutionary psychologist known for his work on human mating strategies.
  • D. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • E. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • 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: BUNCH
Triple: [Burroughs Corporation, partOf, BUNCH]
Generated description
BUNCH was an informal grouping of mainframe computer manufacturers—Burroughs, UNIVAC, NCR, Control Data Corporation, and Honeywell—that were considered IBM’s primary competitors during the 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BUNCH
Target entity description: BUNCH was an informal grouping of mainframe computer manufacturers—Burroughs, UNIVAC, NCR, Control Data Corporation, and Honeywell—that were considered IBM’s primary competitors during the 1960s and 1970s.
  • A. Bun
    Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
  • B. Buc
    Buc is a commune in the Yvelines department of north-central France, located southwest of Paris near Versailles.
  • C. Buss
    Buss is a surname most notably associated with David M. Buss, an influential American evolutionary psychologist known for his work on human mating strategies.
  • D. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • E. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999cca40819082e2d6d10bdb7872 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ef607c8190865b079beb1b6da5 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10bc71c708190b1e620d41278c3e0 completed March 11, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69b10c43a7c48190b63a7b3f0f180d44 completed March 11, 2026, 6:31 a.m.
Created at: March 8, 2026, 2:58 p.m.