Triple

T9999613
Position Surface form Disambiguated ID Type / Status
Subject Christian Grey E197289 entity
Predicate sibling P363 FINISHED
Object Mia Grey E739658 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: Mia Grey | Statement: [Christian Grey, sibling, Mia Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mia Grey
Context triple: [Christian Grey, sibling, Mia Grey]
  • A. Mia Grey chosen
    Mia Grey is a fictional character from the "Fifty Shades" series, known as Christian Grey’s lively and affectionate younger sister.
  • B. Maud Mortimer
    Maud Mortimer was a medieval English noblewoman of the powerful Mortimer family, known primarily as the daughter of Roger Mortimer, 1st Earl of March.
  • C. Katherine Thorn
    Katherine Thorn is a central character in the 1976 horror film "The Omen," portrayed as the adoptive mother of the sinister child Damien.
  • D. Mary Craven
    Mary Craven was the wife of colonial administrator Sir Edmund Andros, linking her to the English aristocracy and the political world of 17th-century imperial governance.
  • E. Mary Lovell
    Mary Lovell is the wife of the late American comedic actor Fred Willard, known for supporting his long career in film and television.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8dc9c081909b6d20909ada09cf completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2584bd6cc8190841353847dd2f00c completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:51 p.m.