Triple

T4414394
Position Surface form Disambiguated ID Type / Status
Subject Nora Ephron E94928 entity
Predicate spouse P13 FINISHED
Object Dan Greenburg
Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
E523655 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: Dan Greenburg | Statement: [Nora Ephron, spouse, Dan Greenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Greenburg
Context triple: [Nora Ephron, spouse, Dan Greenburg]
  • A. Michael Greenberg
    Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
  • B. Everett Greenbaum
    Everett Greenbaum was an American television and film writer best known for his work on classic sitcoms such as "The Andy Griffith Show" and "M*A*S*H."
  • C. Dan Gershon
    Dan Gershon is known as the brother of American actress Gina Gershon.
  • D. David Meltzer
    David Meltzer was an American poet, musician, and essayist associated with the Beat Generation and San Francisco Renaissance, known for his jazz-influenced verse and explorations of mysticism and popular culture.
  • E. Craig Greenberg
    Craig Greenberg is an American businessman, attorney, and Democratic politician serving as the mayor of Louisville, Kentucky.
  • 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: Dan Greenburg
Triple: [Nora Ephron, spouse, Dan Greenburg]
Generated description
Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan Greenburg
Target entity description: Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
  • A. Michael Greenberg
    Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
  • B. Everett Greenbaum
    Everett Greenbaum was an American television and film writer best known for his work on classic sitcoms such as "The Andy Griffith Show" and "M*A*S*H."
  • C. Dan Gershon
    Dan Gershon is known as the brother of American actress Gina Gershon.
  • D. David Meltzer
    David Meltzer was an American poet, musician, and essayist associated with the Beat Generation and San Francisco Renaissance, known for his jazz-influenced verse and explorations of mysticism and popular culture.
  • E. Craig Greenberg
    Craig Greenberg is an American businessman, attorney, and Democratic politician serving as the mayor of Louisville, Kentucky.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e940d48190b49cca6796d60de4 completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c27ce8c81908253c7639207fd3c completed March 22, 2026, 4:12 a.m.
NEDg Description generation batch_69bf6ca445fc8190bad2b7be4ff03d18 completed March 22, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_69bf6d16d93881908099725423926c1d completed March 22, 2026, 4:16 a.m.
Created at: March 12, 2026, 11:29 p.m.