Triple

T15834145
Position Surface form Disambiguated ID Type / Status
Subject Bom Kim E383943 entity
Predicate givenName P17 FINISHED
Object Bom
Bom is a Korean given name commonly used for both males and females, often associated with the meaning "spring."
E1180440 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: Bom | Statement: [Bom Kim, givenName, Bom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bom
Context triple: [Bom Kim, givenName, Bom]
  • A. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • B. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • C. 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.
  • D. Bombe
    The Bombe was an electromechanical device developed by Allied cryptanalysts during World War II to help decipher encrypted German messages, particularly those encoded by the Enigma machine.
  • E. bom
    bom is the ISO 639-3 language code for Berom, a Plateau language spoken primarily in central Nigeria.
  • 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: Bom
Triple: [Bom Kim, givenName, Bom]
Generated description
Bom is a Korean given name commonly used for both males and females, often associated with the meaning "spring."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bom
Target entity description: Bom is a Korean given name commonly used for both males and females, often associated with the meaning "spring."
  • A. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • B. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • C. 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.
  • D. Bombe
    The Bombe was an electromechanical device developed by Allied cryptanalysts during World War II to help decipher encrypted German messages, particularly those encoded by the Enigma machine.
  • E. bom
    bom is the ISO 639-3 language code for Berom, a Plateau language spoken primarily in central Nigeria.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e6670d48190a456581dd951f168 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa137be2c81909c8f04b5cc1a5b21 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa527af048190b1f87d85e50bf254 completed May 9, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5df00e481909e203e78940395ed completed May 9, 2026, 9:23 p.m.
Created at: April 10, 2026, 4:49 a.m.