Triple

T5159835
Position Surface form Disambiguated ID Type / Status
Subject Back for the First Time E116408 entity
Predicate hasPart P35 FINISHED
Object Ho
"Ho" is a track featured on Ludacris's debut studio album "Back for the First Time."
E497246 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: Ho | Statement: [Back for the First Time, hasPart, Ho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ho
Context triple: [Back for the First Time, hasPart, Ho]
  • A. 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.
  • B. 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.
  • C. Ho
    Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
  • D. 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.
  • E. Hor
    Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
  • 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: Ho
Triple: [Back for the First Time, hasPart, Ho]
Generated description
"Ho" is a track featured on Ludacris's debut studio album "Back for the First Time."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ho
Target entity description: "Ho" is a track featured on Ludacris's debut studio album "Back for the First Time."
  • A. 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.
  • B. Ho
    Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
  • C. 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.
  • D. 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.
  • E. Hor
    Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd790613bc819084765cd4ea648dc9 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed01ce48081908813348b762bf1b0 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed08b4acc819096e7fd2fd9dbc73a completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed103a1088190abca6e7d1fbd9c2b completed March 21, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:44 p.m.