Triple

T3778095
Position Surface form Disambiguated ID Type / Status
Subject Sega Sports E83355 entity
Predicate platformPublishedFor P42865 FINISHED
Object PC
PC is a widely used personal computing platform that supports a broad range of software, including video games and productivity applications, across various hardware configurations.
 E388051 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: PC | Statement: [Sega Sports, platformPublishedFor, PC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PC
Context triple: [Sega Sports, platformPublishedFor, PC]
  • A. PC
    PC is the commonly used abbreviation for Pension Credit, a UK welfare benefit that provides additional income to low-income pensioners.
  • B. PC
    PC is the common abbreviation for the Peace Corps, a U.S. government volunteer program that sends Americans abroad to support social and economic development.
  • C. PC
    PC is the post-nominal abbreviation for "Privy Counsellor," denoting membership in the United Kingdom's Privy Council.
  • D. PC
    PC is the abbreviated name of the Committee on Political Affairs and Security, a body focused on political and security-related issues.
  • E. Computer
    Computer is a monthly peer-reviewed magazine published by the IEEE Computer Society that covers advances, trends, and research in computing and information technology.
  • 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: PC
Triple: [Sega Sports, platformPublishedFor, PC]
Generated description
PC is a widely used personal computing platform that supports a broad range of software, including video games and productivity applications, across various hardware configurations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PC
Target entity description: PC is a widely used personal computing platform that supports a broad range of software, including video games and productivity applications, across various hardware configurations.
  • A. PC
    PC is the common abbreviation for the Peace Corps, a U.S. government volunteer program that sends Americans abroad to support social and economic development.
  • B. PC
    PC is the post-nominal abbreviation for "Privy Counsellor," denoting membership in the United Kingdom's Privy Council.
  • C. PC
    PC is the commonly used abbreviation for Pension Credit, a UK welfare benefit that provides additional income to low-income pensioners.
  • D. PC
    PC is the abbreviated name of the Committee on Political Affairs and Security, a body focused on political and security-related issues.
  • E. Computer
    Computer is a monthly peer-reviewed magazine published by the IEEE Computer Society that covers advances, trends, and research in computing and information technology.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5d3dbc8190b6ab118a56acd5a3 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f03d3df48190a4b2382059b7bb24 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f1aeef248190922102fcee343239 completed March 14, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69b4f239fd348190a6a1704dab4894b4 completed March 14, 2026, 5:29 a.m.
Created at: March 8, 2026, 3:36 p.m.