Triple

T2703901
Position Surface form Disambiguated ID Type / Status
Subject National Educational Television E59297 entity
Predicate shortName P43 FINISHED
Object NET
NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
 E290875 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: NET | Statement: [National Educational Television, shortName, NET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NET
Context triple: [National Educational Television, shortName, NET]
  • A. NIC
    NIC is an abbreviation commonly used to refer to North Infirmary Command, a medical or correctional facility unit.
  • B. NIC
    NIC is the three-letter ISO 3166-1 alpha-3 country code assigned to Nicaragua.
  • C. .net
    .net is a widely used generic top-level domain on the internet, commonly associated with network services and infrastructure-related websites.
  • D. NetBEUI
    NetBEUI is a small, fast, non-routable network protocol historically used on Microsoft LANs for simple file and printer sharing.
  • E. System.Net
    System.Net is a .NET namespace that provides classes for network programming, including HTTP communication, sockets, and other internet protocol support.
  • 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: NET
Triple: [National Educational Television, shortName, NET]
Generated description
NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NET
Target entity description: NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
  • A. NIC
    NIC is an abbreviation commonly used to refer to North Infirmary Command, a medical or correctional facility unit.
  • B. NIC
    NIC is the three-letter ISO 3166-1 alpha-3 country code assigned to Nicaragua.
  • C. .net
    .net is a widely used generic top-level domain on the internet, commonly associated with network services and infrastructure-related websites.
  • D. NetBEUI
    NetBEUI is a small, fast, non-routable network protocol historically used on Microsoft LANs for simple file and printer sharing.
  • E. System.Net
    System.Net is a .NET namespace that provides classes for network programming, including HTTP communication, sockets, and other internet protocol support.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda5011bc8190ae4e41da391e759c completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf76caec8190930ead7931f7ea91 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01c248c81909af7358da96aa588 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.