Triple
T2237843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronze Star Medal |
E49322
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
BSM
The Bronze Star Medal (BSM) is a United States military decoration awarded for heroic or meritorious achievement or service in a combat zone.
|
E247649
|
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: BSM | Statement: [Bronze Star Medal, abbreviation, BSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BSM Context triple: [Bronze Star Medal, abbreviation, BSM]
-
A.
BSX
BSX is the stock ticker symbol for Boston Scientific Corporation, a major global medical device manufacturer specializing in interventional medical solutions.
-
B.
BdM
BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
-
C.
BSC
BSC is an acronym commonly referring to British Security Coordination, a covert World War II intelligence organization established by the United Kingdom in North America.
-
D.
KSM
KSM is the commonly used acronym for Khalid Sheikh Mohammed, the alleged principal architect of the September 11, 2001 terrorist attacks.
-
E.
BSA
BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
- 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: BSM Triple: [Bronze Star Medal, abbreviation, BSM]
Generated description
The Bronze Star Medal (BSM) is a United States military decoration awarded for heroic or meritorious achievement or service in a combat zone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BSM Target entity description: The Bronze Star Medal (BSM) is a United States military decoration awarded for heroic or meritorious achievement or service in a combat zone.
-
A.
BSX
BSX is the stock ticker symbol for Boston Scientific Corporation, a major global medical device manufacturer specializing in interventional medical solutions.
-
B.
BdM
BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
-
C.
BSC
BSC is an acronym commonly referring to British Security Coordination, a covert World War II intelligence organization established by the United Kingdom in North America.
-
D.
KSM
KSM is the commonly used acronym for Khalid Sheikh Mohammed, the alleged principal architect of the September 11, 2001 terrorist attacks.
-
E.
BSA
BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc096c7748190a545cc9b229bde62 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0a9ee881909dee8b0a657b9c73 |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bbccdb08190a73fd20a110219d9 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c3d07a08190a6221a33fd02f73e |
completed | March 9, 2026, 6:44 a.m. |
Created at: March 4, 2026, 7:47 p.m.