Triple

T8521103
Position Surface form Disambiguated ID Type / Status
Subject Sega Master System E201694 entity
Predicate abbreviation P43 FINISHED
Object SMS
SMS is a third-generation 8-bit home video game console developed and released by Sega as a competitor to Nintendo’s NES.
E739768 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: SMS | Statement: [Sega Master System, abbreviation, SMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMS
Context triple: [Sega Master System, abbreviation, SMS]
  • A. SMS
    SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
  • B. IMS
    IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
  • C. IMS
    IMS is a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • D. IMS
    IMS is IBM's hierarchical database and transaction management system widely used on mainframe platforms for high-volume, mission-critical applications.
  • E. IMS
    IMS is the IEEE MTT-S International Microwave Symposium, a leading annual conference and exhibition focused on microwave theory, techniques, and technologies.
  • 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: SMS
Triple: [Sega Master System, abbreviation, SMS]
Generated description
SMS is a third-generation 8-bit home video game console developed and released by Sega as a competitor to Nintendo’s NES.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SMS
Target entity description: SMS is a third-generation 8-bit home video game console developed and released by Sega as a competitor to Nintendo’s NES.
  • A. SMS
    SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
  • B. IMS
    IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
  • C. IMS
    IMS is a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • D. IMS
    IMS is IBM's hierarchical database and transaction management system widely used on mainframe platforms for high-volume, mission-critical applications.
  • E. IMS
    IMS is the IEEE MTT-S International Microwave Symposium, a leading annual conference and exhibition focused on microwave theory, techniques, and technologies.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62a490481908ee0ad4ba9a94682 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e76dcd08190866fde75cd0ac389 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffc30e08190b71e941d63d56015 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54dc664081908ff63ec7f92834d7 completed April 2, 2026, 11:37 a.m.
Created at: March 30, 2026, 6:16 p.m.