Triple

T12331542
Position Surface form Disambiguated ID Type / Status
Subject Do or Die E293971 entity
Predicate member P10 FINISHED
Object Belo Zero
Belo Zero is an American rapper best known as a member of the Chicago hip hop group Do or Die.
E976647 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: Belo Zero | Statement: [Do or Die, member, Belo Zero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belo Zero
Context triple: [Do or Die, member, Belo Zero]
  • A. Back to Zero
    "Back to Zero" is a song by The Rolling Stones from their 1986 album "Dirty Work."
  • B. Too Low for Zero
    Too Low for Zero is a 1983 Elton John studio album that marked a commercial and critical resurgence, featuring several of his best-known 1980s hits.
  • C. Ceiling Zero
    Ceiling Zero is a 1936 aviation drama film, directed by Howard Hawks and based on a play by former naval aviator Frank Wead, that focuses on the high-risk lives and camaraderie of airline pilots.
  • D. Count Zero
    Count Zero is a cyberpunk novel by William Gibson that continues the Sprawl trilogy, exploring artificial intelligence, cyberspace, and corporate power in a near-future dystopia.
  • E. Zao
    Zao is a henchman and primary antagonist in the James Bond film "Die Another Day," known for his diamond-studded face and ruthless loyalty to the main villain.
  • 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: Belo Zero
Triple: [Do or Die, member, Belo Zero]
Generated description
Belo Zero is an American rapper best known as a member of the Chicago hip hop group Do or Die.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belo Zero
Target entity description: Belo Zero is an American rapper best known as a member of the Chicago hip hop group Do or Die.
  • A. Back to Zero
    "Back to Zero" is a song by The Rolling Stones from their 1986 album "Dirty Work."
  • B. Too Low for Zero
    Too Low for Zero is a 1983 Elton John studio album that marked a commercial and critical resurgence, featuring several of his best-known 1980s hits.
  • C. Ceiling Zero
    Ceiling Zero is a 1936 aviation drama film, directed by Howard Hawks and based on a play by former naval aviator Frank Wead, that focuses on the high-risk lives and camaraderie of airline pilots.
  • D. Count Zero
    Count Zero is a cyberpunk novel by William Gibson that continues the Sprawl trilogy, exploring artificial intelligence, cyberspace, and corporate power in a near-future dystopia.
  • E. Zao
    Zao is a henchman and primary antagonist in the James Bond film "Die Another Day," known for his diamond-studded face and ruthless loyalty to the main villain.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e9114f48190988b84eaec2e810f completed May 2, 2026, 3:56 p.m.
NEDg Description generation batch_69f61fd2429c8190a8a7c46c312e262d completed May 2, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_69f623f5aa608190bce3e62e08077216 completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.