Triple

T17662457
Position Surface form Disambiguated ID Type / Status
Subject Distorted Humor E440285 entity
Predicate hasDescendant P3654 FINISHED
Object Regal Ransom
Regal Ransom is an American Thoroughbred racehorse best known for winning the 2009 UAE Derby and competing in major international races.
 E1281596 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: Regal Ransom | Statement: [Distorted Humor, hasDescendant, Regal Ransom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Regal Ransom
Context triple: [Distorted Humor, hasDescendant, Regal Ransom]
  • A. Ransom
    Ransom is a small village located in LaSalle County, Illinois, in the United States.
  • B. Ransom
    Ransom is the given name of American author and filmmaker Ransom Riggs, best known for creating the "Miss Peregrine's Home for Peculiar Children" series.
  • C. Ransom
    Ransom is a crime thriller television series created by Frank Spotnitz that follows a crisis and hostage negotiator who resolves high-stakes conflicts without violence.
  • D. Ransom
    "Ransom" is a song by the American rock band Nine.
  • E. Ransom
    Ransom is a 1996 American thriller film directed by Ron Howard and starring Mel Gibson, centered on a wealthy father's desperate attempt to rescue his kidnapped son.
  • 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: Regal Ransom
Triple: [Distorted Humor, hasDescendant, Regal Ransom]
Generated description
Regal Ransom is an American Thoroughbred racehorse best known for winning the 2009 UAE Derby and competing in major international races.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Regal Ransom
Target entity description: Regal Ransom is an American Thoroughbred racehorse best known for winning the 2009 UAE Derby and competing in major international races.
  • A. Ransom
    Ransom is a small village located in LaSalle County, Illinois, in the United States.
  • B. Ransom
    Ransom is the given name of American author and filmmaker Ransom Riggs, best known for creating the "Miss Peregrine's Home for Peculiar Children" series.
  • C. Ransom
    Ransom is a crime thriller television series created by Frank Spotnitz that follows a crisis and hostage negotiator who resolves high-stakes conflicts without violence.
  • D. Ransom
    "Ransom" is a song by the American rock band Nine.
  • E. Ransom
    Ransom is a 1996 American thriller film directed by Ron Howard and starring Mel Gibson, centered on a wealthy father's desperate attempt to rescue his kidnapped son.
  • 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.