Triple

T14962760
Position Surface form Disambiguated ID Type / Status
Subject Jean Sagal E373103 entity
Predicate name P16 FINISHED
Object Jean Sagal E373103 NE FINISHED

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: Jean Sagal | Statement: [Jean Sagal, name, Jean Sagal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Sagal
Context triple: [Jean Sagal, name, Jean Sagal]
  • A. Jean Sagal chosen
    Jean Sagal is an American actress and former television co-star best known for appearing alongside her identical twin sister Liz Sagal in the 1980s sitcom "Double Trouble."
  • B. Sandy Helberg
    Sandy Helberg is a German-born American actor and comedian known for his character roles in film and television, including appearances in several Mel Brooks comedies.
  • C. Jane Leeves
    Jane Leeves is an English actress best known for her role as Daphne Moon on the television sitcom "Frasier."
  • D. Laraine Newman
    Laraine Newman is an American comedian and actress best known as one of the original cast members of Saturday Night Live in the 1970s.
  • E. Andrea Martin
    Andrea Martin is an American R&B songwriter and producer best known for penning hit songs for artists such as Monica, En Vogue, and SWV.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bdeec408190893d1db9254da24e completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:40 a.m.