Triple

T2938854
Position Surface form Disambiguated ID Type / Status
Subject Rutgers Business Law Review E79334 entity
Predicate shortName P43 FINISHED
Object RBLR
RBLR is the abbreviated title of the Rutgers Business Law Review, an academic journal focused on issues in business and corporate law.
 E312160 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: RBLR | Statement: [Rutgers Business Law Review, shortName, RBLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RBLR
Context triple: [Rutgers Business Law Review, shortName, RBLR]
  • A. CBLR
    CBLR is a leading student-edited law journal at Columbia Law School that focuses on scholarship in business and corporate law.
  • B. BRL
    BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
  • C. LBR
    LBR is the official FIFA trigramme used to represent the Liberia national football team in international competitions and records.
  • D. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • E. RSL
    RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
  • 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: RBLR
Triple: [Rutgers Business Law Review, shortName, RBLR]
Generated description
RBLR is the abbreviated title of the Rutgers Business Law Review, an academic journal focused on issues in business and corporate law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RBLR
Target entity description: RBLR is the abbreviated title of the Rutgers Business Law Review, an academic journal focused on issues in business and corporate law.
  • A. CBLR
    CBLR is a leading student-edited law journal at Columbia Law School that focuses on scholarship in business and corporate law.
  • B. BRL
    BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
  • C. LBR
    LBR is the official FIFA trigramme used to represent the Liberia national football team in international competitions and records.
  • D. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • E. RSL
    RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986c1c0c8190a6a9f17082438cfd completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b086837ddc8190af27c7facd629691 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d15ec81c81909c22e265dd0263df completed March 11, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b0d524994c8190b8b6ff05eee8696a completed March 11, 2026, 2:36 a.m.
Created at: March 8, 2026, 2:56 p.m.