Triple

T8476213
Position Surface form Disambiguated ID Type / Status
Subject Dan Rather E200399 entity
Predicate employer P7 FINISHED
Object HDNet
HDNet is an American high-definition television network co-founded by Mark Cuban, known for airing news, sports, and entertainment programming.
 E735526 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: HDNet | Statement: [Dan Rather, employer, HDNet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HDNet
Context triple: [Dan Rather, employer, HDNet]
  • A. HDX
    HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
  • B. HDTV
    HDTV (High-Definition Television) is a television broadcasting standard that delivers significantly higher resolution, improved picture clarity, and better color quality compared to traditional standard-definition TV.
  • C. HD Catalogue
    The HD Catalogue is a widely used astronomical star catalog that lists spectral classifications and positions for over 225,000 stars.
  • D. HD
    HD is the vehicle registration code used for the German city of Heidelberg.
  • E. HD
    HD is an inherited neurodegenerative disorder characterized by progressive motor dysfunction, cognitive decline, and psychiatric symptoms caused by a CAG repeat expansion in the huntingtin gene.
  • 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: HDNet
Triple: [Dan Rather, employer, HDNet]
Generated description
HDNet is an American high-definition television network co-founded by Mark Cuban, known for airing news, sports, and entertainment programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HDNet
Target entity description: HDNet is an American high-definition television network co-founded by Mark Cuban, known for airing news, sports, and entertainment programming.
  • A. HDX
    HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
  • B. HDTV
    HDTV (High-Definition Television) is a television broadcasting standard that delivers significantly higher resolution, improved picture clarity, and better color quality compared to traditional standard-definition TV.
  • C. HD Catalogue
    The HD Catalogue is a widely used astronomical star catalog that lists spectral classifications and positions for over 225,000 stars.
  • D. HD
    HD is the vehicle registration code used for the German city of Heidelberg.
  • E. HD
    HD is an inherited neurodegenerative disorder characterized by progressive motor dysfunction, cognitive decline, and psychiatric symptoms caused by a CAG repeat expansion in the huntingtin gene.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51e21548190811e3c7ba7b196e5 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a0f5e088190b70b2c7437884b3b completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:12 p.m.