Triple

T21074439
Position Surface form Disambiguated ID Type / Status
Subject Will Reeve E519193 entity
Predicate relative P37 FINISHED
Object Alexandra Reeve NE NERFINISHED

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: Alexandra Reeve | Statement: [Will Reeve, relative, Alexandra Reeve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Reeve
Context triple: [Will Reeve, relative, Alexandra Reeve]
  • A. Alexandra Reeve chosen
    Alexandra Reeve is the daughter of late actor and activist Christopher Reeve, known for her work in disability advocacy and public health.
  • B. Elisha Cuthbert
    Elisha Cuthbert is a Canadian actress known for her roles in film and television, including prominent parts in series like "24" and various comedy and thriller movies.
  • C. Alexandra Billings
    Alexandra Billings is an American actress, singer, and groundbreaking transgender performer best known for her work on stage and in television series such as "Transparent."
  • D. Lauren Cohan
    Lauren Cohan is an American-British actress best known for playing Maggie Greene on the television series "The Walking Dead."
  • E. Samira Wiley
    Samira Wiley is an American actress best known for her acclaimed role on the Netflix series "Orange Is the New Black" and her work on "The Handmaid's Tale."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d5ae908190ab5303e39443d729 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.