Triple

T12731539
Position Surface form Disambiguated ID Type / Status
Subject Grace Van Patten E304248 entity
Predicate name P16 FINISHED
Object Grace Van Patten E304248 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: Grace Van Patten | Statement: [Grace Van Patten, name, Grace Van Patten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace Van Patten
Context triple: [Grace Van Patten, name, Grace Van Patten]
  • A. Grace Van Patten chosen
    Grace Van Patten is an American actress known for her nuanced performances in independent films and television series, including notable roles in projects like "The Meyerowitz Stories" and "Nine Perfect Strangers."
  • B. Luana Patten
    Luana Patten was an American child actress best known for her early work in Walt Disney films during the 1940s and 1950s.
  • C. 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."
  • D. Peggy Dow
    Peggy Dow is an American former film actress best known for her roles in early 1950s Hollywood movies, including the classic comedy "Harvey."
  • E. Debra Jo Rupp
    Debra Jo Rupp is an American actress best known for her comedic role as the quirky, loving mother Kitty Forman on the television sitcom That '70s Show.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ad4cc48190a680652efa3ab463 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 5:25 p.m.