Triple

T17360536
Position Surface form Disambiguated ID Type / Status
Subject Basement Jaxx E422055 entity
Predicate notableWork P4 FINISHED
Object Red Alert NE ONDG

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: Red Alert | Statement: [Basement Jaxx, notableWork, Red Alert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Alert
Context triple: [Basement Jaxx, notableWork, Red Alert]
  • A. Red Alert
    Red Alert is a Cold War-era thriller novel by Peter George that explores the terrifying prospect of accidental nuclear war between global superpowers.
  • B. Red Alert
    Red Alert is a pioneering New York City hip hop DJ and radio personality known for helping break numerous rap artists in the 1980s and 1990s.
  • C. Red Alarm
    Red Alarm is a 1995 wireframe 3D space shooter for Nintendo’s Virtual Boy, known for showcasing the system’s stereoscopic graphics despite its minimalist visuals.
  • D. Second Strike
    Second Strike is a military thriller novel by Richard P. Henrick that explores the tensions and high-stakes decision-making aboard a U.S. nuclear submarine during a Cold War crisis.
  • E. World in Conflict
    World in Conflict is a real-time tactics video game set in an alternate-history Cold War scenario, known for its cinematic presentation and large-scale, team-based multiplayer battles.
  • 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: Red Alert
Triple: [Basement Jaxx, notableWork, Red Alert]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Red Alert
Target entity description: "Red Alert" is a popular 1999 house track by British electronic music duo Basement Jaxx, known for its funky groove and distinctive vocal hooks.
  • A. Red Alert
    Red Alert is a Cold War-era thriller novel by Peter George that explores the terrifying prospect of accidental nuclear war between global superpowers.
  • B. Red Alert
    Red Alert is a pioneering New York City hip hop DJ and radio personality known for helping break numerous rap artists in the 1980s and 1990s.
  • C. Red Alarm
    Red Alarm is a 1995 wireframe 3D space shooter for Nintendo’s Virtual Boy, known for showcasing the system’s stereoscopic graphics despite its minimalist visuals.
  • D. Second Strike
    Second Strike is a military thriller novel by Richard P. Henrick that explores the tensions and high-stakes decision-making aboard a U.S. nuclear submarine during a Cold War crisis.
  • E. World in Conflict
    World in Conflict is a real-time tactics video game set in an alternate-history Cold War scenario, known for its cinematic presentation and large-scale, team-based multiplayer battles.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4cacd881909fd722068b019f25 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195609d988190b7a70f8eabf75eaa completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.