Triple

T3157569
Position Surface form Disambiguated ID Type / Status
Subject Blazer5 Gaming E66021 entity
Predicate shortName P43 FINISHED
Object B5
B5 is the abbreviated name commonly used for the esports organization Blazer5 Gaming.
E332012 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: B5 | Statement: [Blazer5 Gaming, shortName, B5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B5
Context triple: [Blazer5 Gaming, shortName, B5]
  • A. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • B. Hyalu B5
    Hyalu B5 is a La Roche-Posay skincare range focused on hydrating and plumping the skin with hyaluronic acid-based formulations.
  • C. B3
    B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
  • D. B3
    B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
  • E. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • 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: B5
Triple: [Blazer5 Gaming, shortName, B5]
Generated description
B5 is the abbreviated name commonly used for the esports organization Blazer5 Gaming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: B5
Target entity description: B5 is the abbreviated name commonly used for the esports organization Blazer5 Gaming.
  • A. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • B. Hyalu B5
    Hyalu B5 is a La Roche-Posay skincare range focused on hydrating and plumping the skin with hyaluronic acid-based formulations.
  • C. B3
    B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
  • D. B3
    B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
  • E. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5ec0da88190a83f3448ac76e98e completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250a682c8190b01e949f27d6932e completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b22598f9e48190a3d63a3416c95bd9 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225f0e0b0819096f8b5f7e7ddd8c3 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.