Triple

T22594168
Position Surface form Disambiguated ID Type / Status
Subject Norma Arnold E574629 entity
Predicate networkOfOriginalBroadcast P833 FINISHED
Object ABC
ABC is a major American broadcast television network known for airing a wide range of popular news, entertainment, and sports programming.
E3937 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: ABC | Statement: [Norma Arnold, networkOfOriginalBroadcast, ABC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC
Context triple: [Norma Arnold, networkOfOriginalBroadcast, ABC]
  • A. ABC
    ABC is the abbreviation commonly used for the Associated British Corporation, a former British television company.
  • B. ABC
    ABC is the commonly used abbreviation for the Brazilian Academy of Sciences, a leading scientific society that promotes research and scientific development in Brazil.
  • C. ABC
    ABC is the IATA airport code for Albacete Air Base, a military airfield located near Albacete in Spain.
  • D. ABC
    ABC is the stock ticker symbol for Abcam, a global life sciences company specializing in research antibodies, reagents, and related tools.
  • E. ABC
    ABC is Australia's national public broadcaster, providing television, radio, and online services across the country.
  • 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: ABC
Triple: [Norma Arnold, networkOfOriginalBroadcast, ABC]
Generated description
ABC is a major American broadcast television network known for airing a wide range of popular news, entertainment, and sports programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ABC
Target entity description: ABC is a major American broadcast television network known for airing a wide range of popular news, entertainment, and sports programming.
  • A. ABC chosen
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • B. ABC
    ABC is Australia's national public broadcaster, providing television, radio, and online services across the country.
  • C. ABC
    ABC is the common abbreviation for Asahi Broadcasting Corporation, a major Japanese television and radio broadcasting company based in Osaka.
  • D. ABC
    ABC is the abbreviation commonly used for the Associated British Corporation, a former British television company.
  • E. ABC
    ABC is the stock ticker symbol for Abcam, a global life sciences company specializing in research antibodies, reagents, and related tools.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16164d690819096f7c4efb6cedad9 completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d5e31308190a11bff9270795efd completed May 18, 2026, 4:25 p.m.
NEDg Description generation batch_6a0b3e908a308190af37f63904f38915 completed May 18, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f8d85cc8190812924d466d18735 completed May 18, 2026, 4:34 p.m.
Created at: April 17, 2026, 2:49 p.m.