Triple
T18643645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bumble |
E455749
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
BMBL
BMBL is the stock ticker symbol for Bumble Inc., a dating and social networking company known for its women-first approach to initiating conversations.
|
E1335156
|
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: BMBL | Statement: [Bumble, tickerSymbol, BMBL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMBL Context triple: [Bumble, tickerSymbol, BMBL]
-
A.
BMB
BMB is the Biodiversity Management Bureau, a Philippine government agency responsible for conserving and managing the country’s biological diversity and protected areas.
-
B.
BMBF
BMBF is the German Federal Ministry responsible for national policy and funding in education, science, and research.
-
C.
BBMB
BBMB is an Indian governmental organization responsible for managing the Bhakra-Nangal and Beas river projects, including their dams, power generation, and water distribution.
-
D.
MBMC
MBMC is the municipal governing body responsible for civic administration and infrastructure in the Mira-Bhayandar region of Maharashtra, India.
-
E.
BMH
BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
- 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: BMBL Triple: [Bumble, tickerSymbol, BMBL]
Generated description
BMBL is the stock ticker symbol for Bumble Inc., a dating and social networking company known for its women-first approach to initiating conversations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BMBL Target entity description: BMBL is the stock ticker symbol for Bumble Inc., a dating and social networking company known for its women-first approach to initiating conversations.
-
A.
BMB
BMB is the Biodiversity Management Bureau, a Philippine government agency responsible for conserving and managing the country’s biological diversity and protected areas.
-
B.
BMBF
BMBF is the German Federal Ministry responsible for national policy and funding in education, science, and research.
-
C.
BBMB
BBMB is an Indian governmental organization responsible for managing the Bhakra-Nangal and Beas river projects, including their dams, power generation, and water distribution.
-
D.
MBMC
MBMC is the municipal governing body responsible for civic administration and infrastructure in the Mira-Bhayandar region of Maharashtra, India.
-
E.
BMH
BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500b6d7c8190b807b772980d913c |
completed | April 19, 2026, 9:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d865fc48190a11ed96ebfdca50d |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a051058f5788190b782a39feb7f6111 |
completed | May 13, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0510fc0d1081908970c91357bb3444 |
completed | May 14, 2026, 12:02 a.m. |
Created at: April 10, 2026, 11:47 a.m.