Triple

T6004990
Position Surface form Disambiguated ID Type / Status
Subject FUS E133686 entity
Predicate interactsWith P3970 FINISHED
Object EWSR1
EWSR1 is a multifunctional RNA-binding protein involved in transcriptional regulation and RNA processing, best known for its role in chromosomal translocations that drive various sarcomas and leukemias.
 E561108 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: EWSR1 | Statement: [FUS, interactsWith, EWSR1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EWSR1
Context triple: [FUS, interactsWith, EWSR1]
  • A. ERBB2
    ERBB2, also known as HER2, is a receptor tyrosine kinase frequently overexpressed in certain breast and other cancers and serves as a key therapeutic target.
  • B. EWR
    EWR is the three-letter IATA airport code for Newark Liberty International Airport, a major air travel hub serving the New York City metropolitan area.
  • C. EWE
    EWE is the National Rail station code for Ewell West railway station in Surrey, England.
  • D. RSEQ
    RSEQ is the governing body that organizes and oversees student sports and athletic competitions across Quebec’s educational institutions.
  • E. ESR
    ESR is the commonly used abbreviation for Eric S. Raymond, an influential American software developer and open-source advocate.
  • 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: EWSR1
Triple: [FUS, interactsWith, EWSR1]
Generated description
EWSR1 is a multifunctional RNA-binding protein involved in transcriptional regulation and RNA processing, best known for its role in chromosomal translocations that drive various sarcomas and leukemias.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EWSR1
Target entity description: EWSR1 is a multifunctional RNA-binding protein involved in transcriptional regulation and RNA processing, best known for its role in chromosomal translocations that drive various sarcomas and leukemias.
  • A. ERBB2
    ERBB2, also known as HER2, is a receptor tyrosine kinase frequently overexpressed in certain breast and other cancers and serves as a key therapeutic target.
  • B. EWR
    EWR is the three-letter IATA airport code for Newark Liberty International Airport, a major air travel hub serving the New York City metropolitan area.
  • C. EWE
    EWE is the National Rail station code for Ewell West railway station in Surrey, England.
  • D. RSEQ
    RSEQ is the governing body that organizes and oversees student sports and athletic competitions across Quebec’s educational institutions.
  • E. ESR
    ESR is the commonly used abbreviation for Eric S. Raymond, an influential American software developer and open-source advocate.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f10d18081908c351170b7f58d3d completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1088f5c84819094e4696c24c4dd79 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c1099f00f88190a5f1f0fafbb679c2 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10a2ffdcc8190bfeebc59d98b2b29 completed March 23, 2026, 9:38 a.m.
Created at: March 22, 2026, 4:06 p.m.