Triple

T13844492
Position Surface form Disambiguated ID Type / Status
Subject Brittany Daniel E332757 entity
Predicate hasTwinSibling P2516 FINISHED
Object Cynthia Daniel E853828 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: Cynthia Daniel | Statement: [Brittany Daniel, hasTwinSibling, Cynthia Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cynthia Daniel
Context triple: [Brittany Daniel, hasTwinSibling, Cynthia Daniel]
  • A. Cynthia Daniel chosen
    Cynthia Daniel is an American former actress and photographer best known for starring alongside her twin sister Brittany in the 1990s TV series "Sweet Valley High."
  • B. Cynthia Hudson
    Cynthia Hudson is known as the wife of Stanley Hudson, a character from the American television series "The Office."
  • C. Cynthia Stevenson
    Cynthia Stevenson is an American actress known for her work in film and television, including roles in projects like "Home for the Holidays" and the series "Dead Like Me."
  • D. Georgia Ann Wiedemeier
    Georgia Ann Wiedemeier is best known as the wife of American author Robert James Waller, who wrote the bestselling novel "The Bridges of Madison County."
  • E. Cynthia Scheider
    Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f87c188190b90faf7678cb9ad4 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.