Triple

T22692651
Position Surface form Disambiguated ID Type / Status
Subject Sm proteins E561090 entity
Predicate hasMember P10 FINISHED
Object SmG
SmG is one of the core Sm proteins that assemble into a ring-shaped complex essential for pre-mRNA splicing in eukaryotic cells.
 E1550446 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: SmG | Statement: [Sm proteins, hasMember, SmG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SmG
Context triple: [Sm proteins, hasMember, SmG]
  • A. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • B. SG
    SG is the vehicle registration code used on license plates for cars registered in Gliwice, Poland.
  • C. SG
    SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
  • D. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • E. SG
    SG (Sanspareils Greenlands) is a prominent Indian sports equipment manufacturer best known for its high-quality cricket gear, including bats, balls, and protective equipment.
  • 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: SmG
Triple: [Sm proteins, hasMember, SmG]
Generated description
SmG is one of the core Sm proteins that assemble into a ring-shaped complex essential for pre-mRNA splicing in eukaryotic cells.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SmG
Target entity description: SmG is one of the core Sm proteins that assemble into a ring-shaped complex essential for pre-mRNA splicing in eukaryotic cells.
  • A. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • B. SG
    SG is the vehicle registration code used on license plates for cars registered in Gliwice, Poland.
  • C. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • D. SG
    SG is the IATA airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • E. SG
    SG (Sanspareils Greenlands) is a prominent Indian sports equipment manufacturer best known for its high-quality cricket gear, including bats, balls, and protective equipment.
  • 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_69f1789ba0148190891781d05ec64f3c completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7eccc1408190a9d2473700154bd3 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b7fd717b88190875264662193a43a completed May 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0b807b4f748190bf4172469502c150 completed May 18, 2026, 9:11 p.m.
Created at: April 17, 2026, 3:13 p.m.