Triple
T7985603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Storm |
E185674
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object |
BackType
BackType was a social media analytics startup best known for creating the real-time distributed stream processing system that became Apache Storm.
|
E702191
|
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: BackType | Statement: [Apache Storm, developedBy, BackType]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BackType Context triple: [Apache Storm, developedBy, BackType]
-
A.
Back
Back is a small coastal village on the Isle of Lewis in Scotland’s Outer Hebrides, known for its sandy beaches and Gaelic-speaking community.
-
B.
Top Back
"Top Back" is a 2006 Southern hip hop track by rapper T.I., known for its heavy bass, car-centric themes, and prominence on his album "King."
-
C.
Ban
Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
-
D.
Bar
Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
-
E.
Bar
Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
- 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: BackType Triple: [Apache Storm, developedBy, BackType]
Generated description
BackType was a social media analytics startup best known for creating the real-time distributed stream processing system that became Apache Storm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BackType Target entity description: BackType was a social media analytics startup best known for creating the real-time distributed stream processing system that became Apache Storm.
-
A.
Back
Back is a small coastal village on the Isle of Lewis in Scotland’s Outer Hebrides, known for its sandy beaches and Gaelic-speaking community.
-
B.
Top Back
"Top Back" is a 2006 Southern hip hop track by rapper T.I., known for its heavy bass, car-centric themes, and prominence on his album "King."
-
C.
Ban
Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
-
D.
Bar
Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
-
E.
Bar
Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4a55b881909a96133e56c0dffa |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0e6f3c48190a0132fa90eec6420 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43e47048190a0044477f88de5d0 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc0d60254c819087d1de7ca6ea554b |
completed | March 31, 2026, 6:07 p.m. |
Created at: March 30, 2026, 5:15 p.m.