Triple

T6095059
Position Surface form Disambiguated ID Type / Status
Subject Ellen Goodman E135855 entity
Predicate spouse P13 FINISHED
Object Peter Maranian
Peter Maranian is the husband of Pulitzer Prize–winning American columnist and author Ellen Goodman.
 E576932 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: Peter Maranian | Statement: [Ellen Goodman, spouse, Peter Maranian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Maranian
Context triple: [Ellen Goodman, spouse, Peter Maranian]
  • A. Robert Mammone
    Robert Mammone is an Australian actor known for his work in film and television, including roles in war dramas and action-oriented productions.
  • B. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • C. William D'Elia
    William D'Elia is an American mobster who became a powerful boss in the Bufalino crime family and a significant figure in organized crime in Pennsylvania.
  • D. Paul Merolla
    Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
  • E. Michael D’Orso
    Michael D’Orso is an American author and journalist known for co-writing influential nonfiction books, often chronicling social justice movements and notable public figures.
  • 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: Peter Maranian
Triple: [Ellen Goodman, spouse, Peter Maranian]
Generated description
Peter Maranian is the husband of Pulitzer Prize–winning American columnist and author Ellen Goodman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Maranian
Target entity description: Peter Maranian is the husband of Pulitzer Prize–winning American columnist and author Ellen Goodman.
  • A. Robert Mammone
    Robert Mammone is an Australian actor known for his work in film and television, including roles in war dramas and action-oriented productions.
  • B. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • C. William D'Elia
    William D'Elia is an American mobster who became a powerful boss in the Bufalino crime family and a significant figure in organized crime in Pennsylvania.
  • D. Paul Merolla
    Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
  • E. Michael D’Orso
    Michael D’Orso is an American author and journalist known for co-writing influential nonfiction books, often chronicling social justice movements and notable public figures.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a963bac8190bc0c33fef187875c completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d4e28b48190bb44675c5c035bd3 completed March 24, 2026, 4:04 a.m.
NEDg Description generation batch_69c20f50f6988190b2df198edd4bf87e completed March 24, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_69c20fcabbe481908194871d21e12155 completed March 24, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:12 p.m.