Triple

T20740624
Position Surface form Disambiguated ID Type / Status
Subject Finding Graceland E510428 entity
Predicate starred P5563 FINISHED
Object Gretchen Mol NE NERFINISHED

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: Gretchen Mol | Statement: [Finding Graceland, starred, Gretchen Mol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gretchen Mol
Context triple: [Finding Graceland, starred, Gretchen Mol]
  • A. Gretchen Mol chosen
    Gretchen Mol is an American actress known for her film and television work, including prominent roles in projects like "The Notorious Bettie Page" and the HBO series "Boardwalk Empire."
  • B. Melissa Hudson
    Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
  • C. Rebecca Washington
    Rebecca Washington is a central character on the legal drama series "The Practice," known for her work as a dedicated attorney at the show's featured law firm.
  • D. Rebecca Tilly
    Rebecca Tilly is a member of the Tilly family and the sister of actress and author Meg Tilly.
  • E. Melissa Sue Anderson
    Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20e76ac8190985203b2c17aca14 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:32 p.m.