Triple

T20843813
Position Surface form Disambiguated ID Type / Status
Subject IEEE Executive Director E513165 entity
Predicate hasAbbreviation P43 FINISHED
Object ED
ED is the standard abbreviation for the IEEE Executive Director, the chief administrative officer responsible for overseeing the operations and strategic implementation of IEEE’s programs and initiatives.
 E1453780 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: ED | Statement: [IEEE Executive Director, hasAbbreviation, ED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ED
Context triple: [IEEE Executive Director, hasAbbreviation, ED]
  • A. ED
    ED is the standard abbreviation for the Eredivisie, the top professional football league in the Netherlands.
  • 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. ED
    ED is the official station code for Ede-Wageningen railway station in the Netherlands.
  • E. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • 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: ED
Triple: [IEEE Executive Director, hasAbbreviation, ED]
Generated description
ED is the standard abbreviation for the IEEE Executive Director, the chief administrative officer responsible for overseeing the operations and strategic implementation of IEEE’s programs and initiatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ED
Target entity description: ED is the standard abbreviation for the IEEE Executive Director, the chief administrative officer responsible for overseeing the operations and strategic implementation of IEEE’s programs and initiatives.
  • A. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • B. 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.
  • C. ED
    ED is the standard abbreviation for the Eredivisie, the top professional football league in the Netherlands.
  • D. ED
    ED is the official station code for Ede-Wageningen railway station in the Netherlands.
  • E. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34cdf9881909f3340874bbee5bc completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b01d11c8190a8ca8e331b2c0936 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090bf30e048190a2c81dece02c997d completed May 17, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a090d0d52fc8190aed0a475f3424213 completed May 17, 2026, 12:34 a.m.
Created at: April 16, 2026, 12:43 p.m.