Triple

T14335949
Position Surface form Disambiguated ID Type / Status
Subject Jake "Xmithie" Puchero E355466 entity
Predicate team P3756 FINISHED
Object HoN
HoN is a professional esports team that Jake "Xmithie" Puchero has played for during his competitive gaming career.
 E1092961 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: HoN | Statement: [Jake "Xmithie" Puchero, team, HoN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HoN
Context triple: [Jake "Xmithie" Puchero, team, HoN]
  • A. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • B. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • C. Ho
    "Ho" is a track featured on Ludacris's debut studio album "Back for the First Time."
  • D. Ho
    Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
  • E. Ho
    Ho is a common East Asian surname used in various cultures, including Chinese and Korean, often representing different characters and lineages depending on the language and region.
  • 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: HoN
Triple: [Jake "Xmithie" Puchero, team, HoN]
Generated description
HoN is a professional esports team that Jake "Xmithie" Puchero has played for during his competitive gaming career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HoN
Target entity description: HoN is a professional esports team that Jake "Xmithie" Puchero has played for during his competitive gaming career.
  • A. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • B. Ho
    "Ho" is a track featured on Ludacris's debut studio album "Back for the First Time."
  • C. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • D. Ho
    Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
  • E. Ho
    Ho is a common East Asian surname used in various cultures, including Chinese and Korean, often representing different characters and lineages depending on the language and region.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c20d2148190bb534bef338e871d completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46986758819088750150ad47bae1 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47a9b5008190a15de0f427771505 completed May 8, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd4828f44c81908903d1391c83cc60 completed May 8, 2026, 2:19 a.m.
Created at: April 10, 2026, 1:14 a.m.