Triple
T22693480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EWSR1 |
E561108
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object |
EWS
EWS is a multifunctional RNA-binding protein encoded by the EWSR1 gene, best known for its involvement in chromosomal translocations that drive Ewing sarcoma and related cancers.
|
E1551054
|
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: EWS | Statement: [EWSR1, alias, EWS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EWS Context triple: [EWSR1, alias, EWS]
-
A.
EWS
EWS is a United States Marine Corps professional military education institution that trains company-grade officers in the planning and execution of expeditionary and amphibious operations.
-
B.
EWS
EWS (English, Welsh & Scottish Railway) was a major British rail freight company that operated a large fleet of locomotives and became the dominant freight operator in the UK before being rebranded as DB Cargo UK.
-
C.
ESW
ESW is the vehicle registration code for the German town and district of Eschwege in the state of Hesse.
-
D.
EWE
EWE is the National Rail station code for Ewell West railway station in Surrey, England.
-
E.
ESSWE
ESSWE is a scholarly organization dedicated to promoting academic research and dialogue on Western esoteric traditions in Europe and beyond.
- 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: EWS Triple: [EWSR1, alias, EWS]
Generated description
EWS is a multifunctional RNA-binding protein encoded by the EWSR1 gene, best known for its involvement in chromosomal translocations that drive Ewing sarcoma and related cancers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EWS Target entity description: EWS is a multifunctional RNA-binding protein encoded by the EWSR1 gene, best known for its involvement in chromosomal translocations that drive Ewing sarcoma and related cancers.
-
A.
EWS
EWS (English, Welsh & Scottish Railway) was a major British rail freight company that operated a large fleet of locomotives and became the dominant freight operator in the UK before being rebranded as DB Cargo UK.
-
B.
EWS
EWS is a United States Marine Corps professional military education institution that trains company-grade officers in the planning and execution of expeditionary and amphibious operations.
-
C.
ESW
ESW is the vehicle registration code for the German town and district of Eschwege in the state of Hesse.
-
D.
EWE
EWE is the National Rail station code for Ewell West railway station in Surrey, England.
-
E.
ESSWE
ESSWE is a scholarly organization dedicated to promoting academic research and dialogue on Western esoteric traditions in Europe and beyond.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789c6ae481908975b7d27e7624ac |
completed | April 29, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ece75648190a841256cf08a72f8 |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b834f488c8190bee40bd1caea0e40 |
completed | May 18, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8717b65c819089d29c1802d1ed55 |
completed | May 18, 2026, 9:39 p.m. |
Created at: April 17, 2026, 3:13 p.m.