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.