Triple

T8651158
Position Surface form Disambiguated ID Type / Status
Subject Paul Reiser E205100 entity
Predicate spouse P13 FINISHED
Object Paula Ravets
Paula Ravets is an American clinical psychologist and the longtime wife of actor and comedian Paul Reiser.
E749730 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: Paula Ravets | Statement: [Paul Reiser, spouse, Paula Ravets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paula Ravets
Context triple: [Paul Reiser, spouse, Paula Ravets]
  • A. Paula Dobriansky
    Paula Dobriansky is an American foreign policy expert and diplomat who has held several senior U.S. government positions, particularly in European and democracy-promotion affairs.
  • B. Pilar Savone
    Pilar Savone is a film producer best known for her work on Quentin Tarantino’s acclaimed Western crime film "Django Unchained."
  • C. Esther Acebo
    Esther Acebo is a Spanish actress and television presenter best known internationally for her role as Mónica Gaztambide (Stockholm) in the hit series "Money Heist."
  • D. Paula Alquist
    Paula Alquist is the psychologically tormented heroine of the 1944 film "Gaslight," whose manipulation by her husband gave rise to the term "gaslighting."
  • E. Eugenia Brin
    Eugenia Brin is the mother of Google co-founder Sergey Brin and a Jewish refugee from the Soviet Union who worked as a research scientist in the United States.
  • 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: Paula Ravets
Triple: [Paul Reiser, spouse, Paula Ravets]
Generated description
Paula Ravets is an American clinical psychologist and the longtime wife of actor and comedian Paul Reiser.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paula Ravets
Target entity description: Paula Ravets is an American clinical psychologist and the longtime wife of actor and comedian Paul Reiser.
  • A. Paula Dobriansky
    Paula Dobriansky is an American foreign policy expert and diplomat who has held several senior U.S. government positions, particularly in European and democracy-promotion affairs.
  • B. Pilar Savone
    Pilar Savone is a film producer best known for her work on Quentin Tarantino’s acclaimed Western crime film "Django Unchained."
  • C. Esther Acebo
    Esther Acebo is a Spanish actress and television presenter best known internationally for her role as Mónica Gaztambide (Stockholm) in the hit series "Money Heist."
  • D. Paula Alquist
    Paula Alquist is the psychologically tormented heroine of the 1944 film "Gaslight," whose manipulation by her husband gave rise to the term "gaslighting."
  • E. Eugenia Brin
    Eugenia Brin is the mother of Google co-founder Sergey Brin and a Jewish refugee from the Soviet Union who worked as a research scientist in the United States.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccc95b588190b5e44c73cf93d18b completed April 2, 2026, 8:08 p.m.
NEDg Description generation batch_69cece1681288190a6c99407bc2f0bdd completed April 2, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69cecec118ac81909fbcafe841354c32 completed April 2, 2026, 8:17 p.m.
Created at: March 30, 2026, 6:29 p.m.