Triple

T13616837
Position Surface form Disambiguated ID Type / Status
Subject As Good as It Gets E325336 entity
Predicate starring P1507 FINISHED
Object Julie Benz E402946 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: Julie Benz | Statement: [As Good as It Gets, starring, Julie Benz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Benz
Context triple: [As Good as It Gets, starring, Julie Benz]
  • A. Julie Benz chosen
    Julie Benz is an American actress best known for her roles on television series such as "Buffy the Vampire Slayer," "Angel," and "Dexter."
  • B. Scott Grimes
    Scott Grimes is an American actor and singer best known for his roles in the TV series "ER," "Band of Brothers," and as a prominent voice actor in animated television.
  • C. Roxann Dawson
    Roxann Dawson is an American actress and director best known for playing Chief Engineer B'Elanna Torres on the television series Star Trek: Voyager.
  • D. Beth Riesgraf
    Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
  • E. Deborah Ann Woll
    Deborah Ann Woll is an American actress best known for her roles in the TV series "True Blood" and Marvel's "Daredevil."
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0ad0a7c81909c7972187202db96 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f9ecc2881909f71d71e056f9459 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.