Triple

T23507391
Position Surface form Disambiguated ID Type / Status
Subject Sheryl Lee E572319 entity
Predicate name P16 FINISHED
Object Sheryl Lee 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: Sheryl Lee | Statement: [Sheryl Lee, name, Sheryl Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheryl Lee
Context triple: [Sheryl Lee, name, Sheryl Lee]
  • A. Sheryl Lee chosen
    Sheryl Lee is an American actress best known for her iconic role as Laura Palmer in David Lynch’s television series "Twin Peaks" and its related films.
  • B. Susan Alexandra Weaver
    Susan Alexandra Weaver, better known as Sigourney Weaver, is an acclaimed American actress renowned for her pioneering roles in science fiction and strong female leads, particularly as Ellen Ripley in the Alien film series.
  • C. Carol Bridger
    Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
  • D. Susan Roop
    Susan Roop was the namesake of Susanville, California, likely a woman associated with the town’s founding or an important local pioneer family.
  • E. Nicole Kassell
    Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a901c9908190a781e79fe8b96743 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.