Triple

T18093461
Position Surface form Disambiguated ID Type / Status
Subject Down by Law E433026 entity
Predicate featuresCharacter P626 FINISHED
Object DJ Zack
DJ Zack is a fictional DJ character associated with the film "Down by Law."
 E1305405 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: DJ Zack | Statement: [Down by Law, featuresCharacter, DJ Zack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DJ Zack
Context triple: [Down by Law, featuresCharacter, DJ Zack]
  • A. Zack Shada
    Zack Shada is an American actor and voice actor best known for his early voice work on the animated series "Adventure Time" and roles in various film and television projects.
  • B. Zack Ward
    Zack Ward is a Canadian actor best known for his roles in films like "A Christmas Story" and numerous genre and television productions.
  • C. DJ Timmy Tim
    DJ Timmy Tim is an early stage name of Timothy Mosley, the influential American record producer and rapper better known as Timbaland.
  • D. DJ Enuff
    DJ Enuff is an American hip-hop DJ and producer best known as a member of The Notorious B.I.G.’s production circle and a prominent New York radio personality.
  • E. DJ Sammy
    DJ Sammy is a Spanish DJ and producer best known internationally for his trance and dance remixes and chart-topping covers of popular songs.
  • 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: DJ Zack
Triple: [Down by Law, featuresCharacter, DJ Zack]
Generated description
DJ Zack is a fictional DJ character associated with the film "Down by Law."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DJ Zack
Target entity description: DJ Zack is a fictional DJ character associated with the film "Down by Law."
  • A. Zack Shada
    Zack Shada is an American actor and voice actor best known for his early voice work on the animated series "Adventure Time" and roles in various film and television projects.
  • B. Zack Ward
    Zack Ward is a Canadian actor best known for his roles in films like "A Christmas Story" and numerous genre and television productions.
  • C. DJ Timmy Tim
    DJ Timmy Tim is an early stage name of Timothy Mosley, the influential American record producer and rapper better known as Timbaland.
  • D. DJ Enuff
    DJ Enuff is an American hip-hop DJ and producer best known as a member of The Notorious B.I.G.’s production circle and a prominent New York radio personality.
  • E. DJ Sammy
    DJ Sammy is a Spanish DJ and producer best known internationally for his trance and dance remixes and chart-topping covers of popular songs.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1a75048190924ebc01da83851b completed April 19, 2026, 1:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d9d9cd48190a1f12122701e333e completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a036a6df6348190893f97731da817f1 completed May 12, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_6a036b44c6008190a3b612b9e7d292f0 completed May 12, 2026, 6:02 p.m.
Created at: April 10, 2026, 10:27 a.m.