Triple

T17662467
Position Surface form Disambiguated ID Type / Status
Subject Distorted Humor E440285 entity
Predicate hasDescendant P3654 FINISHED
Object Z Humor
Z Humor is an American Thoroughbred racehorse and sire, best known as a graded stakes competitor and a son of leading stallion Distorted Humor.
E1281603 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: Z Humor | Statement: [Distorted Humor, hasDescendant, Z Humor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Z Humor
Context triple: [Distorted Humor, hasDescendant, Z Humor]
  • A. Humor Me
    "Humor Me" is a film edited by Nat Sanders, known for his work on acclaimed independent movies.
  • B. विनोद
    विनोद एक सामान्य भारतीय पुरुष नाम है, जिसका अर्थ 'हास्य' या 'मज़ाक' होता है।
  • C. Belaugh
    Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • D. The Joke
    "The Joke" is a critically acclaimed, anthemic ballad by American singer-songwriter Brandi Carlile that champions marginalized and misunderstood people.
  • E. The Joke
    The Joke is a novel by Milan Kundera that blends dark humor and political critique to explore the personal and ideological consequences of life under a repressive communist regime.
  • 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: Z Humor
Triple: [Distorted Humor, hasDescendant, Z Humor]
Generated description
Z Humor is an American Thoroughbred racehorse and sire, best known as a graded stakes competitor and a son of leading stallion Distorted Humor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Z Humor
Target entity description: Z Humor is an American Thoroughbred racehorse and sire, best known as a graded stakes competitor and a son of leading stallion Distorted Humor.
  • A. Humor Me
    "Humor Me" is a film edited by Nat Sanders, known for his work on acclaimed independent movies.
  • B. विनोद
    विनोद एक सामान्य भारतीय पुरुष नाम है, जिसका अर्थ 'हास्य' या 'मज़ाक' होता है।
  • C. Belaugh
    Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • D. The Joke
    "The Joke" is a critically acclaimed, anthemic ballad by American singer-songwriter Brandi Carlile that champions marginalized and misunderstood people.
  • E. The Joke
    The Joke is a novel by Milan Kundera that blends dark humor and political critique to explore the personal and ideological consequences of life under a repressive communist regime.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea73c90819087a23a7b6171f581 completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02165c9a4481909a6c43b2b58e1fc8 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021f80092c81909a1827561ed69f17 completed May 11, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_6a021fe90da48190810c7aa2c2de2801 completed May 11, 2026, 6:28 p.m.
Created at: April 10, 2026, 9:48 a.m.