Triple

T3094313
Position Surface form Disambiguated ID Type / Status
Subject Government and Binding Theory E64555 entity
Predicate alternativeName P39 FINISHED
Object GB Theory
GB Theory is a major generative grammar framework developed by Noam Chomsky that explains the structure of natural language using a system of interacting modules and principles.
 E326800 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: GB Theory | Statement: [Government and Binding Theory, alternativeName, GB Theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GB Theory
Context triple: [Government and Binding Theory, alternativeName, GB Theory]
  • A. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • B. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • C. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • D. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • E. GT
    GT is a performance-oriented trim level commonly associated with sportier styling and enhanced powertrain features on vehicles like the Mercury Cougar.
  • 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: GB Theory
Triple: [Government and Binding Theory, alternativeName, GB Theory]
Generated description
GB Theory is a major generative grammar framework developed by Noam Chomsky that explains the structure of natural language using a system of interacting modules and principles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GB Theory
Target entity description: GB Theory is a major generative grammar framework developed by Noam Chomsky that explains the structure of natural language using a system of interacting modules and principles.
  • A. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • B. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • C. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • D. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • E. GT
    GT is a performance-oriented trim level commonly associated with sportier styling and enhanced powertrain features on vehicles like the Mercury Cougar.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada239a8c88190a746892b56ee7e02 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20370aba48190a31ec25bca0a4727 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2046f76488190adef6685544b080e completed March 12, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69b2054bca388190ad40b2303ac96373 completed March 12, 2026, 12:14 a.m.
Created at: March 8, 2026, 3:03 p.m.