Triple

T7354294
Position Surface form Disambiguated ID Type / Status
Subject The Honeymoon Machine E169583 entity
Predicate starring P1507 FINISHED
Object Paula Prentiss E460061 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: Paula Prentiss | Statement: [The Honeymoon Machine, starring, Paula Prentiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paula Prentiss
Context triple: [The Honeymoon Machine, starring, Paula Prentiss]
  • A. Paula Prentiss chosen
    Paula Prentiss is an American actress known for her tall, comedic presence in 1960s films and television, including roles in movies like "Where the Boys Are" and "The Stepford Wives."
  • B. Barbara Bain
    Barbara Bain is an American actress best known for her role as Cinnamon Carter on the television series "Mission: Impossible," for which she won multiple Primetime Emmy Awards.
  • C. Angela Richards
    Angela Richards is known as one of the children of Rolling Stones guitarist Keith Richards.
  • D. Denise Crosby
    Denise Crosby is an American actress best known for playing Lieutenant Tasha Yar on the television series Star Trek: The Next Generation.
  • E. Jill Eikenberry
    Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b490cc8190bbbaf7825e293566 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:05 p.m.