Triple

T17214156
Position Surface form Disambiguated ID Type / Status
Subject Tamron Hall E417808 entity
Predicate spouse P13 FINISHED
Object Steven Greener
Steven Greener is an American music and television producer and media executive, known for his work in entertainment management and production.
 E1083093 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: Steven Greener | Statement: [Tamron Hall, spouse, Steven Greener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steven Greener
Context triple: [Tamron Hall, spouse, Steven Greener]
  • A. Steven Greener
    Steven Greener is an American film and television producer and entertainment executive known for his work on popular TV comedies and for managing high-profile talent.
  • B. Chris Greer
    Chris Greer is a relatively obscure individual whose primary distinguishing feature is sharing the surname Greer, with no widely recognized public profile or achievements.
  • C. Mark Greene
    Mark Greene is a central fictional emergency physician and one of the original main characters on the television series "ER."
  • D. Scott Green
    Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
  • E. Scott Green
    Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
  • 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: Steven Greener
Triple: [Tamron Hall, spouse, Steven Greener]
Generated description
Steven Greener is an American music and television producer and media executive, known for his work in entertainment management and production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steven Greener
Target entity description: Steven Greener is an American music and television producer and media executive, known for his work in entertainment management and production.
  • A. Steven Greener chosen
    Steven Greener is an American film and television producer and entertainment executive known for his work on popular TV comedies and for managing high-profile talent.
  • B. Chris Greer
    Chris Greer is a relatively obscure individual whose primary distinguishing feature is sharing the surname Greer, with no widely recognized public profile or achievements.
  • C. Mark Greene
    Mark Greene is a central fictional emergency physician and one of the original main characters on the television series "ER."
  • D. Scott Green
    Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
  • E. Scott Green
    Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc795d08190b90801a4f8b23afe completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a016751a5788190a385774d1ff002d0 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016846e8248190b9209bb344396bfa completed May 11, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0168b535a88190b8c84c76871ae2fe completed May 11, 2026, 5:27 a.m.
Created at: April 10, 2026, 5:38 a.m.