Triple
T5124109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloomsbury Publishing |
E115541
|
entity |
| Predicate | stockTicker |
P1447
|
FINISHED |
| Object |
BMY
BMY is the stock ticker symbol for Bloomsbury Publishing, a British independent publishing house best known for publishing the Harry Potter series.
|
E495444
|
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: BMY | Statement: [Bloomsbury Publishing, stockTicker, BMY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMY Context triple: [Bloomsbury Publishing, stockTicker, BMY]
-
A.
BMO
BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
-
B.
BMO
BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
-
C.
BMO
BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
-
D.
BRK.B
BRK.B is the Class B common stock of Berkshire Hathaway Inc., the multinational conglomerate led by Warren Buffett.
-
E.
JNJ
JNJ is the acronym for Peru’s National Board of Justice, the autonomous body responsible for appointing, ratifying, and overseeing judges and prosecutors in the country.
- 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: BMY Triple: [Bloomsbury Publishing, stockTicker, BMY]
Generated description
BMY is the stock ticker symbol for Bloomsbury Publishing, a British independent publishing house best known for publishing the Harry Potter series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BMY Target entity description: BMY is the stock ticker symbol for Bloomsbury Publishing, a British independent publishing house best known for publishing the Harry Potter series.
-
A.
BMO
BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
-
B.
BMO
BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
-
C.
BMO
BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
-
D.
BRK.B
BRK.B is the Class B common stock of Berkshire Hathaway Inc., the multinational conglomerate led by Warren Buffett.
-
E.
JNJ
JNJ is the acronym for Peru’s National Board of Justice, the autonomous body responsible for appointing, ratifying, and overseeing judges and prosecutors in the country.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7805c55c8190bc0540d755dc6242 |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4b7c628819097fb933be59ecefe |
completed | March 21, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69bec57c071c8190b16dba98809654e1 |
completed | March 21, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec5eb535c819097deeb331f9f0f4d |
completed | March 21, 2026, 4:23 p.m. |
Created at: March 20, 2026, 1:42 p.m.