Triple

T9132856
Position Surface form Disambiguated ID Type / Status
Subject Zaya E219132 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: [Zaya, portrayedBy, Courtney Eaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courtney Eaton
Context triple: [Zaya, 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8db7d808190bd22b0e5a6f9c285 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d5a92795cc819087578d02c2c791e4 completed April 8, 2026, 1:02 a.m.
Created at: March 30, 2026, 7:18 p.m.