Triple

T20573176
Position Surface form Disambiguated ID Type / Status
Subject LEGO video games E505151 entity
Predicate platform P1292 FINISHED
Object PC
PC is a widely used personal computing platform that supports a vast range of software, including many popular LEGO video games.
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: [LEGO video games, platform, PC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PC
Context triple: [LEGO video games, platform, PC]
  • 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. PC
    PC is a police constable, the entry-level rank of a police officer responsible for frontline law enforcement duties.
  • 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: [LEGO video games, platform, PC]
Generated description
PC is a widely used personal computing platform that supports a vast range of software, including many popular LEGO video games.
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 vast range of software, including many popular LEGO video games.
  • A. PC chosen
    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.
  • 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 commonly used abbreviation for Pension Credit, a UK welfare benefit that provides additional income to low-income pensioners.
  • D. PC
    PC is the commonly used abbreviation for Plaid Cymru, the Welsh nationalist political party advocating for Wales’s interests and greater self-governance.
  • E. PC
    PC is the standard abbreviation for Perfect Charity, an organization dedicated to charitable work and philanthropy.
  • F. None of above.

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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a906f0508190ac698233738f4452 completed April 20, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08ace6329c81909a96ee9fbaa69ce9 completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08ae7ed45881909b94f034e7db8c9d completed May 16, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_6a08aefec80c8190b2ffc172dd6c3e42 completed May 16, 2026, 5:53 p.m.
Created at: April 16, 2026, 11:39 a.m.