Triple

T12300125
Position Surface form Disambiguated ID Type / Status
Subject Christopher Miller E293195 entity
Predicate relative P37 FINISHED
Object Jennifer Miller E293196 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: Jennifer Miller | Statement: [Christopher Miller, relative, Jennifer Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Miller
Context triple: [Christopher Miller, relative, Jennifer Miller]
  • A. Jennifer Miller chosen
    Jennifer Miller is a daughter of Diane Disney Miller and a granddaughter of Walt Disney, belonging to the Disney family.
  • B. Kellie Miller
    Kellie Miller is one of the plaintiffs who challenged Tennessee’s ban on recognizing same-sex marriages in the federal court case Tanco v. Haslam.
  • C. Allison Miller
    Allison Miller is an American actress known for her roles in television series such as "A Million Little Things" and "Kings," as well as films like "17 Again."
  • D. Jennifer Morris
    Jennifer Morris is a conservation leader who serves as the chief executive officer of the global environmental nonprofit Conservation International.
  • E. Marisa Miller
    Marisa Miller is an American supermodel best known for her work with Victoria’s Secret and appearances in the Sports Illustrated Swimsuit Issue.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.