Triple

T22840350
Position Surface form Disambiguated ID Type / Status
Subject Girlfriends' Guide to Divorce E566062 entity
Predicate castMember P1668 FINISHED
Object Paul Adelstein NE NERFINISHED

How this triple was built (2 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: Paul Adelstein | Statement: [Girlfriends' Guide to Divorce, castMember, Paul Adelstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Adelstein
Context triple: [Girlfriends' Guide to Divorce, castMember, Paul Adelstein]
  • A. Paul Adelstein chosen
    Paul Adelstein is an American actor best known for his role as Dr. Cooper Freedman on the television medical drama "Private Practice."
  • B. David Adelstein
    David Adelstein is a musician known for his work featured on the album "Bella Donna."
  • C. Neal Edelstein
    Neal Edelstein is an American film producer best known for his work on acclaimed psychological thrillers and innovative genre films, including David Lynch’s "Mulholland Drive."
  • D. Joseph Markovitch
    Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
  • E. Ronald N. Perlman
    Ronald N. Perlman is an American actor best known for his distinctive deep voice and leading roles in works such as the "Hellboy" films and the television series "Beauty and the Beast."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.