Triple

T15970963
Position Surface form Disambiguated ID Type / Status
Subject DJ Dodger Stadium E387320 entity
Predicate hasMember P10 FINISHED
Object Jerome LOL
Jerome LOL is an American electronic music producer and DJ known for his work in the duo DJ Dodger Stadium and his influential role in the Los Angeles dance music scene.
E1186321 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: Jerome LOL | Statement: [DJ Dodger Stadium, hasMember, Jerome LOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome LOL
Context triple: [DJ Dodger Stadium, hasMember, Jerome LOL]
  • A. Jerome D
    Jerome D is a music video director known for his work with prominent hip-hop artists, including directing Kendrick Lamar’s “Backseat Freestyle” video.
  • B. Jerome
    Jerome is the given first name of American film producer and talent agent Jerry Weintraub.
  • C. Jerome
    Jerome is the maiden surname of Lady Randolph Churchill, the American-born mother of British Prime Minister Winston Churchill.
  • D. Jerome
    Jerome is a historic former copper-mining town in north-central Arizona known for its hillside location, preserved Old West architecture, and vibrant arts community.
  • E. Jerome
    Jerome is a masculine given name of biblical origin that has been borne by numerous notable figures across history.
  • 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: Jerome LOL
Triple: [DJ Dodger Stadium, hasMember, Jerome LOL]
Generated description
Jerome LOL is an American electronic music producer and DJ known for his work in the duo DJ Dodger Stadium and his influential role in the Los Angeles dance music scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jerome LOL
Target entity description: Jerome LOL is an American electronic music producer and DJ known for his work in the duo DJ Dodger Stadium and his influential role in the Los Angeles dance music scene.
  • A. Jerome D
    Jerome D is a music video director known for his work with prominent hip-hop artists, including directing Kendrick Lamar’s “Backseat Freestyle” video.
  • B. Jerome
    Jerome is the given first name of American film producer and talent agent Jerry Weintraub.
  • C. Jerome
    Jerome is the maiden surname of Lady Randolph Churchill, the American-born mother of British Prime Minister Winston Churchill.
  • D. Jerome
    Jerome is a historic former copper-mining town in north-central Arizona known for its hillside location, preserved Old West architecture, and vibrant arts community.
  • E. Jerome
    Jerome is a recurring character in the animated TV series "Family Guy," known for being a laid-back bartender and later owner of the local bar, The Drunken Clam.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157291214819088d65e984609e42c completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe88fa308190942d37cf67458396 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3f40288190a59646124e06a864 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfddd0348190baab794f613c71bf completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:54 a.m.