Triple

T12683533
Position Surface form Disambiguated ID Type / Status
Subject Hesher E303006 entity
Predicate starring P1507 FINISHED
Object Piper Laurie E303866 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: Piper Laurie | Statement: [Hesher, starring, Piper Laurie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piper Laurie
Context triple: [Hesher, starring, Piper Laurie]
  • A. Piper Laurie chosen
    Piper Laurie was an acclaimed American actress known for her intense performances in films like "Carrie" and "The Hustler" and the TV series "Twin Peaks."
  • B. Lee Grant
    Lee Grant is an Academy Award–winning American actress and director known for her powerful film and television performances and later work as a documentarian.
  • C. Anne Meara
    Anne Meara was an American actress and comedian, best known as half of the comedy duo Stiller and Meara and for her extensive work in television, film, and theater.
  • D. Estelle Parsons
    Estelle Parsons is an American actress and director best known for her Academy Award–winning performance in the 1967 film "Bonnie and Clyde" and her extensive work on stage and television.
  • E. Vera Miles
    Vera Miles is an American actress best known for her roles in classic Alfred Hitchcock films, including "Psycho" and "The Wrong Man."
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d12cd88190b6e205ad98296ed9 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 5:21 p.m.