Triple

T7237953
Position Surface form Disambiguated ID Type / Status
Subject Sutomo E155278 entity
Predicate honorificPrefix P536 FINISHED
Object Bung
Bung is an Indonesian honorific title commonly used to address men in a friendly, egalitarian, and nationalist context, especially prominent during the independence era.
 E650711 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: Bung | Statement: [Sutomo, honorificPrefix, Bung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bung
Context triple: [Sutomo, honorificPrefix, Bung]
  • 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. Bugaloo
    Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
  • C. Bou
    Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
  • D. Bungku’
    Bungku’ is an Austronesian language spoken by the Bungku people of Sulawesi in Indonesia.
  • E. Bum
    Bum is the nickname of Bum Phillips, the colorful and beloved former NFL head coach best known for leading the Houston Oilers in the 1970s.
  • 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: Bung
Triple: [Sutomo, honorificPrefix, Bung]
Generated description
Bung is an Indonesian honorific title commonly used to address men in a friendly, egalitarian, and nationalist context, especially prominent during the independence era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bung
Target entity description: Bung is an Indonesian honorific title commonly used to address men in a friendly, egalitarian, and nationalist context, especially prominent during the independence era.
  • 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. Bugaloo
    Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
  • C. Bou
    Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
  • D. Bungku’
    Bungku’ is an Austronesian language spoken by the Bungku people of Sulawesi in Indonesia.
  • E. Bum
    Bum is the nickname of Bum Phillips, the colorful and beloved former NFL head coach best known for leading the Houston Oilers in the 1970s.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea368fb88190bd9e991e8b94dac6 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc381a4081909a8ea7ee02348328 completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7cda71c088190afe117d8d3ff04ab completed March 28, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7ce1b5e0081908d8e68fb1c0bfd3e completed March 28, 2026, 12:48 p.m.
Created at: March 27, 2026, 2:55 p.m.