Triple

T1160250
Position Surface form Disambiguated ID Type / Status
Subject Scheme E24474 entity
Predicate notableImplementation P102 FINISHED
Object Bigloo
Bigloo is a high-performance Scheme implementation and compiler designed to generate efficient C, Java, and .NET code for practical application development.
 E131747 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: Bigloo | Statement: [Scheme, notableImplementation, Bigloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bigloo
Context triple: [Scheme, notableImplementation, Bigloo]
  • A. Green Monster
    The Green Monster is the iconic, unusually tall left-field wall at Fenway Park, famous for dramatically influencing gameplay and home run hitting in Boston Red Sox baseball games.
  • B. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • C. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • D. Puckman
    Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
  • E. Plump Jack
    Plump Jack is an opera by American composer Gordon Getty, based on the character Sir John Falstaff from Shakespeare’s history plays.
  • 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: Bigloo
Triple: [Scheme, notableImplementation, Bigloo]
Generated description
Bigloo is a high-performance Scheme implementation and compiler designed to generate efficient C, Java, and .NET code for practical application development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bigloo
Target entity description: Bigloo is a high-performance Scheme implementation and compiler designed to generate efficient C, Java, and .NET code for practical application development.
  • A. Green Monster
    The Green Monster is the iconic, unusually tall left-field wall at Fenway Park, famous for dramatically influencing gameplay and home run hitting in Boston Red Sox baseball games.
  • B. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • C. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • D. Puckman
    Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
  • E. Plump Jack
    Plump Jack is an opera by American composer Gordon Getty, based on the character Sir John Falstaff from Shakespeare’s history plays.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ebbf80881909010e1e1e59212d4 completed March 7, 2026, 5:22 p.m.
NEDg Description generation batch_69ac5f77286c81908267706202ab032f completed March 7, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_69ac5fe000bc81909c1131b8c1f1db6b completed March 7, 2026, 5:26 p.m.
Created at: March 1, 2026, 7:45 p.m.