Triple

T18507281
Position Surface form Disambiguated ID Type / Status
Subject Don Keefer E452230 entity
Predicate employer P7 FINISHED
Object ACN
ACN is a fictional cable news network featured in the television series "The Newsroom."
 E452242 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: ACN | Statement: [Don Keefer, employer, ACN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ACN
Context triple: [Don Keefer, employer, ACN]
  • A. ACN
    ACN is a former Nigerian political party that played a major role in opposition politics before merging into the All Progressives Congress (APC) in 2013.
  • B. ACN
    ACN is a fictional cable news network featured in the television series "The Newsroom."
  • C. ACN
    ACN is a global professional services company specializing in direct selling of telecommunications, energy, and other essential services.
  • D. ANC
    ANC is the unified tri-service military command of India responsible for the defense and security of the Andaman and Nicobar Islands.
  • E. ANC
    ANC is the abbreviation commonly used for the Australian Navy Cadets, a youth development organization supported by the Royal Australian Navy.
  • 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: ACN
Triple: [Don Keefer, employer, ACN]
Generated description
ACN is a fictional cable news network featured in the television series "The Newsroom."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ACN
Target entity description: ACN is a fictional cable news network featured in the television series "The Newsroom."
  • A. ACN
    ACN is a former Nigerian political party that played a major role in opposition politics before merging into the All Progressives Congress (APC) in 2013.
  • B. ACN chosen
    ACN is a fictional cable news network featured in the television series "The Newsroom."
  • C. ACN
    ACN is a global professional services company specializing in direct selling of telecommunications, energy, and other essential services.
  • D. ANC
    ANC is the unified tri-service military command of India responsible for the defense and security of the Andaman and Nicobar Islands.
  • E. ANC
    ANC is the abbreviation commonly used for the Australian Navy Cadets, a youth development organization supported by the Royal Australian Navy.
  • F. None of above.

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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344033c8190a0883aef56ba79c3 completed April 19, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0491672dc08190a09c74cb4e6cf06a completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a04966f7b488190881d28e858ed7908 completed May 13, 2026, 3:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0496ec05608190bfd16a0a36735255 completed May 13, 2026, 3:21 p.m.
Created at: April 10, 2026, 11:36 a.m.