Triple

T10325511
Position Surface form Disambiguated ID Type / Status
Subject The Five Wives E242750 entity
Predicate portrayedBy P1507 FINISHED
Object Courtney Eaton E315616 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: Courtney Eaton | Statement: [The Five Wives, portrayedBy, Courtney Eaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courtney Eaton
Context triple: [The Five Wives, portrayedBy, Courtney Eaton]
  • A. Courtney Eaton chosen
    Courtney Eaton is an Australian actress and model best known for her roles in action and fantasy films such as "Mad Max: Fury Road" and "Gods of Egypt."
  • B. Courtney Richards
    Courtney Richards is the wife of renowned American sportscaster Jim Nantz and is known for her presence alongside him at public and sporting events.
  • C. Courtney Lee
    Courtney Lee is an American former professional basketball shooting guard who played in the NBA for multiple teams, including the Orlando Magic, Boston Celtics, and Dallas Mavericks.
  • D. Courtney Wagner
    Courtney Wagner is an American jewelry designer and television personality best known as the daughter of actress Natalie Wood and actor Robert Wagner.
  • E. Courtney Thorne-Smith
    Courtney Thorne-Smith is an American actress best known for her television roles in series such as Melrose Place, Ally McBeal, and According to Jim.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cd76348190b93562112300acfc completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154529dd08190abbfc8d8281a642f completed April 16, 2026, 9:27 p.m.
Created at: April 6, 2026, 11:51 a.m.