Triple

T13481388
Position Surface form Disambiguated ID Type / Status
Subject Testament E318379 entity
Predicate nominatedPerson P10684 FINISHED
Object Jane Alexander E129345 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: Jane Alexander | Statement: [Testament, nominatedPerson, Jane Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Alexander
Context triple: [Testament, nominatedPerson, Jane Alexander]
  • A. Jane Alexander chosen
    Jane Alexander is an acclaimed American actress and former chair of the National Endowment for the Arts, known for her extensive work in film, television, and theater.
  • B. Judith Ivey
    Judith Ivey is an American actress and director known for her Tony Award–winning stage performances and numerous roles in film and television.
  • C. Frances Fisher
    Frances Fisher is an English-born American actress known for her versatile character roles in film and television, including her portrayal of Ruth DeWitt Bukater in Titanic.
  • D. Shirley Knight
    Shirley Knight was an acclaimed American actress known for her versatile performances in film, television, and theater, earning multiple award nominations and wins throughout her career.
  • E. Diane Baker
    Diane Baker is an American actress and producer known for her work in film and television since the late 1950s, including roles in classics like "The Diary of Anne Frank" and "Marnie."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd27f43bf081908dea65dc05f7c1a2 completed May 8, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:42 p.m.