Triple

T2104561
Position Surface form Disambiguated ID Type / Status
Subject Eduardo E37162 entity
Predicate shortForm P43 FINISHED
Object Edu
Edu is a common shortened form of the given name Eduardo, often used as an informal nickname.
 E234465 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: Edu | Statement: [Eduardo, shortForm, Edu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edu
Context triple: [Eduardo, shortForm, Edu]
  • A. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • B. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • C. ED
    ED is a classic line-based text editor commonly used in Unix-like operating systems, known for its minimal interface and suitability for scripting and low-resource environments.
  • D. Education Service
    Education Service is a division of the U.S. Department of Veterans Affairs that administers and manages education benefits programs for veterans, service members, and their families.
  • E. SoS for Education
    SoS for Education is the abbreviated title commonly used for the UK government minister responsible for overseeing the education system and related policy.
  • 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: Edu
Triple: [Eduardo, shortForm, Edu]
Generated description
Edu is a common shortened form of the given name Eduardo, often used as an informal nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Edu
Target entity description: Edu is a common shortened form of the given name Eduardo, often used as an informal nickname.
  • A. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • B. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • C. ED
    ED is a classic line-based text editor commonly used in Unix-like operating systems, known for its minimal interface and suitability for scripting and low-resource environments.
  • D. Education Service
    Education Service is a division of the U.S. Department of Veterans Affairs that administers and manages education benefits programs for veterans, service members, and their families.
  • E. SoS for Education
    SoS for Education is the abbreviated title commonly used for the UK government minister responsible for overseeing the education system and related policy.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbadcd4a081909d60b9b241950335 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3069f78c819092a6d9d903e4df13 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae311eec148190af10e88fb4d7c433 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae3199909881909ffca021098c98ea completed March 9, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:43 p.m.