Triple

T16440457
Position Surface form Disambiguated ID Type / Status
Subject Jack-Ass E399284 entity
Predicate hasRemix P9639 FINISHED
Object Burro
"Burro" is a remix track associated with the song "Jack-Ass," likely offering an alternative or extended version of the original recording.
 E1213748 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: Burro | Statement: [Jack-Ass, hasRemix, Burro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burro
Context triple: [Jack-Ass, hasRemix, Burro]
  • A. Mule
    Mule Suttles was a legendary power-hitting first baseman and outfielder in Negro league baseball, renowned for his prodigious home runs and later induction into the Baseball Hall of Fame.
  • B. Blaster the Burro
    Blaster the Burro is the live burro mascot of the Colorado School of Mines, symbolizing the university’s mining heritage and school spirit.
  • C. Llama
    Llama is an open-source large language model family developed by Meta for a wide range of natural language understanding and generation tasks.
  • D. Chuarrancho
    Chuarrancho is a small municipality in the Guatemala Department of central Guatemala, known for its rural character and traditional highland culture.
  • E. Kamel
    Kamel is a given name, often used in Arabic-speaking and related cultures, that serves as a variant form of the name Kamal.
  • 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: Burro
Triple: [Jack-Ass, hasRemix, Burro]
Generated description
"Burro" is a remix track associated with the song "Jack-Ass," likely offering an alternative or extended version of the original recording.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burro
Target entity description: "Burro" is a remix track associated with the song "Jack-Ass," likely offering an alternative or extended version of the original recording.
  • A. Mule
    Mule Suttles was a legendary power-hitting first baseman and outfielder in Negro league baseball, renowned for his prodigious home runs and later induction into the Baseball Hall of Fame.
  • B. Blaster the Burro
    Blaster the Burro is the live burro mascot of the Colorado School of Mines, symbolizing the university’s mining heritage and school spirit.
  • C. Llama
    Llama is an open-source large language model family developed by Meta for a wide range of natural language understanding and generation tasks.
  • D. Chuarrancho
    Chuarrancho is a small municipality in the Guatemala Department of central Guatemala, known for its rural character and traditional highland culture.
  • E. Kamel
    Kamel is a given name, often used in Arabic-speaking and related cultures, that serves as a variant form of the name Kamal.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba7fb0c8190a6a872705cd38987 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458dde8881909778c9964ddc8efa completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00472cdc2881908211045515cd21ee completed May 10, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b4b6688190afef52b39788ceae completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.