Triple

T2506750
Position Surface form Disambiguated ID Type / Status
Subject HGTV E52601 entity
Predicate hasProgram P178 FINISHED
Object Good Bones
Good Bones is a home renovation and real estate television series that follows a mother-daughter duo as they transform rundown properties in Indianapolis.
E271963 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: Good Bones | Statement: [HGTV, hasProgram, Good Bones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Bones
Context triple: [HGTV, hasProgram, Good Bones]
  • A. Them Bones
    "Them Bones" is a heavy, riff-driven grunge/metal song by Alice in Chains, known for its dark themes, odd time signatures, and prominent role in defining the band’s early 1990s sound.
  • B. Me of Little Faith
    "Me of Little Faith" is a comedic book by stand-up comedian Lewis Black that satirically explores religion, belief, and skepticism.
  • C. Lazy Bones
    "Lazy Bones" is a song by the American punk rock band Green Day, featured on their 2012 album ¡Dos!.
  • D. Hearts and Bones
    Hearts and Bones is a 1983 studio album by American singer-songwriter Paul Simon, noted for its introspective lyrics and sophisticated, understated production.
  • E. Grace After Meals
    Grace After Meals is a traditional Jewish prayer recited after eating a bread-based meal to thank God for sustenance and blessings.
  • 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: Good Bones
Triple: [HGTV, hasProgram, Good Bones]
Generated description
Good Bones is a home renovation and real estate television series that follows a mother-daughter duo as they transform rundown properties in Indianapolis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Good Bones
Target entity description: Good Bones is a home renovation and real estate television series that follows a mother-daughter duo as they transform rundown properties in Indianapolis.
  • A. Them Bones
    "Them Bones" is a heavy, riff-driven grunge/metal song by Alice in Chains, known for its dark themes, odd time signatures, and prominent role in defining the band’s early 1990s sound.
  • B. Me of Little Faith
    "Me of Little Faith" is a comedic book by stand-up comedian Lewis Black that satirically explores religion, belief, and skepticism.
  • C. Lazy Bones
    "Lazy Bones" is a song by the American punk rock band Green Day, featured on their 2012 album ¡Dos!.
  • D. Hearts and Bones
    Hearts and Bones is a 1983 studio album by American singer-songwriter Paul Simon, noted for its introspective lyrics and sophisticated, understated production.
  • E. Grace After Meals
    Grace After Meals is a traditional Jewish prayer recited after eating a bread-based meal to thank God for sustenance and blessings.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cfeb408190ba8107296310dbfc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa7dbb88190815087416b207b54 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af203f7ca08190ba781891bd879192 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20cd13a88190a35bc1b74ad088ef completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.