Triple

T5712726
Position Surface form Disambiguated ID Type / Status
Subject Dummy Boy E125946 entity
Predicate hasTrack P3284 FINISHED
Object WONDO
WONDO is a track by rapper 6ix9ine from his 2018 studio album "Dummy Boy," known for its aggressive style and trap-influenced production.
 E540095 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: WONDO | Statement: [Dummy Boy, hasTrack, WONDO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WONDO
Context triple: [Dummy Boy, hasTrack, WONDO]
  • A. Wondros
    Wondros is a creative agency and production company known for crafting storytelling-driven campaigns and media for social impact, nonprofits, and major organizations.
  • B. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • C. WUN
    WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
  • D. WoZ
    WoZ (Wheels of Zeus) was a technology company founded by Steve Wozniak that focused on developing wireless GPS-based tracking devices and related consumer electronics.
  • E. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • 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: WONDO
Triple: [Dummy Boy, hasTrack, WONDO]
Generated description
WONDO is a track by rapper 6ix9ine from his 2018 studio album "Dummy Boy," known for its aggressive style and trap-influenced production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WONDO
Target entity description: WONDO is a track by rapper 6ix9ine from his 2018 studio album "Dummy Boy," known for its aggressive style and trap-influenced production.
  • A. Wondros
    Wondros is a creative agency and production company known for crafting storytelling-driven campaigns and media for social impact, nonprofits, and major organizations.
  • B. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • C. WUN
    WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
  • D. WoZ
    WoZ (Wheels of Zeus) was a technology company founded by Steve Wozniak that focused on developing wireless GPS-based tracking devices and related consumer electronics.
  • E. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a74b350819099d8881ef248e1e7 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05cfae55c81908658b4b5d5f03c96 completed March 22, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69c05e061ff88190b9387358cc8bc199 completed March 22, 2026, 9:24 p.m.
Created at: March 22, 2026, 3:46 p.m.