Triple

T1922073
Position Surface form Disambiguated ID Type / Status
Subject OWN: Oprah Winfrey Network E40144 entity
Predicate abbreviation P43 FINISHED
Object OWN
OWN is a U.S. cable television network co-founded by Oprah Winfrey that features lifestyle, talk, and scripted programming aimed primarily at African American audiences.
 E217103 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: OWN | Statement: [OWN: Oprah Winfrey Network, abbreviation, OWN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OWN
Context triple: [OWN: Oprah Winfrey Network, abbreviation, OWN]
  • A. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • B. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • C. You
    "You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
  • D. .no
    .no is the country code top-level domain (ccTLD) assigned to Norway for use in its internet addresses.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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: OWN
Triple: [OWN: Oprah Winfrey Network, abbreviation, OWN]
Generated description
OWN is a U.S. cable television network co-founded by Oprah Winfrey that features lifestyle, talk, and scripted programming aimed primarily at African American audiences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OWN
Target entity description: OWN is a U.S. cable television network co-founded by Oprah Winfrey that features lifestyle, talk, and scripted programming aimed primarily at African American audiences.
  • A. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • B. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • C. You
    "You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
  • D. .no
    .no is the country code top-level domain (ccTLD) assigned to Norway for use in its internet addresses.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb233011881908736523d36f01b0c completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e458e8819098ea1c2d5598f890 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf4cd91008190ada815601d9f76b4 completed March 8, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69adf5681ea88190979237322fd2785b completed March 8, 2026, 10:17 p.m.
Created at: March 4, 2026, 7:35 p.m.