Triple

T8636803
Position Surface form Disambiguated ID Type / Status
Subject Rodeo E204543 entity
Predicate hasPart P35 FINISHED
Object Flying High
Flying High is a rodeo event or segment typically featuring dramatic, high-altitude rides or maneuvers that showcase a rider’s skill and control.
E748509 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: Flying High | Statement: [Rodeo, hasPart, Flying High]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flying High
Context triple: [Rodeo, hasPart, Flying High]
  • A. Flying High
    "Flying High" is a 1931 American musical comedy film featuring vaudeville-style humor and early Hollywood song-and-dance numbers.
  • B. High Flying Bird
    High Flying Bird is a 2019 sports drama film directed by Steven Soderbergh that explores power dynamics and labor issues in professional basketball during an NBA lockout.
  • C. High Flying Bird
    "High Flying Bird" is a song featured on Elton John's 1973 album *Don’t Shoot Me I’m Only the Piano Player*.
  • D. Fly As Me
    "Fly As Me" is a funk and soul-influenced song by the duo Silk Sonic, featured on their collaborative album "An Evening with Silk Sonic."
  • E. Go Fly
    Go Fly was a British low-cost airline launched in the late 1990s that operated short-haul European routes before being absorbed into easyJet.
  • 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: Flying High
Triple: [Rodeo, hasPart, Flying High]
Generated description
Flying High is a rodeo event or segment typically featuring dramatic, high-altitude rides or maneuvers that showcase a rider’s skill and control.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flying High
Target entity description: Flying High is a rodeo event or segment typically featuring dramatic, high-altitude rides or maneuvers that showcase a rider’s skill and control.
  • A. Flying High
    "Flying High" is a 1931 American musical comedy film featuring vaudeville-style humor and early Hollywood song-and-dance numbers.
  • B. High Flying Bird
    High Flying Bird is a 2019 sports drama film directed by Steven Soderbergh that explores power dynamics and labor issues in professional basketball during an NBA lockout.
  • C. High Flying Bird
    "High Flying Bird" is a song featured on Elton John's 1973 album *Don’t Shoot Me I’m Only the Piano Player*.
  • D. Fly As Me
    "Fly As Me" is a funk and soul-influenced song by the duo Silk Sonic, featured on their collaborative album "An Evening with Silk Sonic."
  • E. Go Fly
    Go Fly was a British low-cost airline launched in the late 1990s that operated short-haul European routes before being absorbed into easyJet.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc476255508190b3e5855232b399a0 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccaa77688190bbcf3fbd6af7c195 completed April 2, 2026, 8:08 p.m.
NEDg Description generation batch_69cece8c4bdc8190988990c675f50f86 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf3a0e78819082cc7c43eceae309 completed April 2, 2026, 8:19 p.m.
Created at: March 30, 2026, 6:27 p.m.