Triple

T9473686
Position Surface form Disambiguated ID Type / Status
Subject Dan Goodman E228456 entity
Predicate spouse P13 FINISHED
Object Diana Goodman
Diana Goodman is known as the wife of Dan Goodman.
 E814449 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: Diana Goodman | Statement: [Dan Goodman, spouse, Diana Goodman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diana Goodman
Context triple: [Dan Goodman, spouse, Diana Goodman]
  • A. Diana Goodman
    Diana Goodman is the emotionally struggling suburban mother at the center of the rock musical "Next to Normal," whose battle with mental illness drives the show's narrative.
  • B. Dolores Goodman
    Dolores Goodman, better known professionally as Dody Goodman, was an American comedic actress and television personality recognized for her quirky, high-pitched delivery and frequent appearances on talk shows and sitcoms in the mid-20th century.
  • C. Robyn Goodman
    Robyn Goodman is an American theater producer best known for her influential work in developing and producing successful Broadway and Off-Broadway shows.
  • D. Diana Parker
    Diana Parker is a character in Jane Austen’s unfinished novel "Sanditon," depicted as one of the hypochondriacal Parker siblings involved in promoting the seaside resort.
  • E. Diana Gettas
    Diana Gettas is known as the former wife of Canadian screenwriter and director Paul Haggis.
  • 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: Diana Goodman
Triple: [Dan Goodman, spouse, Diana Goodman]
Generated description
Diana Goodman is known as the wife of Dan Goodman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diana Goodman
Target entity description: Diana Goodman is known as the wife of Dan Goodman.
  • A. Diana Goodman
    Diana Goodman is the emotionally struggling suburban mother at the center of the rock musical "Next to Normal," whose battle with mental illness drives the show's narrative.
  • B. Dolores Goodman
    Dolores Goodman, better known professionally as Dody Goodman, was an American comedic actress and television personality recognized for her quirky, high-pitched delivery and frequent appearances on talk shows and sitcoms in the mid-20th century.
  • C. Robyn Goodman
    Robyn Goodman is an American theater producer best known for her influential work in developing and producing successful Broadway and Off-Broadway shows.
  • D. Diana Parker
    Diana Parker is a character in Jane Austen’s unfinished novel "Sanditon," depicted as one of the hypochondriacal Parker siblings involved in promoting the seaside resort.
  • E. Diana Gettas
    Diana Gettas is known as the former wife of Canadian screenwriter and director Paul Haggis.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff0afd08190871b68a88fdbff2b completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190cc06d48190b437edfc4fee8cce completed April 4, 2026, 10:29 p.m.
NEDg Description generation batch_69d192f37e54819099d316ce44de2c81 completed April 4, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69d1933ffc3481909395c9efb63875bb completed April 4, 2026, 10:40 p.m.
Created at: March 30, 2026, 7:54 p.m.