Triple

T5787265
Position Surface form Disambiguated ID Type / Status
Subject George Miller E128297 entity
Predicate spouse P13 FINISHED
Object Margaret Sixel E224870 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: Margaret Sixel | Statement: [George Miller, spouse, Margaret Sixel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Sixel
Context triple: [George Miller, spouse, Margaret Sixel]
  • A. Margaret Sixel chosen
    Margaret Sixel is an Academy Award–winning film editor best known for her dynamic, high-intensity work on action films such as Mad Max: Fury Road.
  • B. Nicole P. Stott
    Nicole P. Stott is an American engineer, retired NASA astronaut, and aquanaut known for her long-duration stay on the International Space Station and her work combining space exploration with art and education.
  • C. Dawn Moore
    Dawn Moore is an American public figure best known as the wife of Maryland Governor Wes Moore and the state's First Lady.
  • D. Kathryn Murphy
    Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
  • E. Nancy Shevell
    Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5297c88190bd28adb2552a26f4 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0981a002c8190ac8ed7407a80919c completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.