Triple

T21074411
Position Surface form Disambiguated ID Type / Status
Subject Will Reeve E519193 entity
Predicate siblingOf P363 FINISHED
Object Matthew 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: Matthew Reeve | Statement: [Will Reeve, siblingOf, Matthew Reeve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Reeve
Context triple: [Will Reeve, siblingOf, Matthew Reeve]
  • A. Matthew Reeve chosen
    Matthew Reeve is a British-American filmmaker and activist, known for his documentary work and for continuing the legacy of his father, actor and disability advocate Christopher Reeve.
  • B. Ben Barnes
    Ben Barnes is an English actor best known for his roles in films like "The Chronicles of Narnia" series and "Dorian Gray," as well as TV shows such as "Westworld" and "Shadow and Bone."
  • C. Jonathan Rhys Hill
    Jonathan Rhys Hill is a composer best known for his work on television drama scores, including the series "The Trial of Christine Keeler."
  • D. Matthew Goode
    Matthew Goode is an English actor known for his roles in films such as "Match Point," "The Imitation Game," and "Stoker," as well as TV series like "Downton Abbey" and "The Good Wife."
  • E. Clive Morgan
    Clive Morgan was a British character actor known for supporting roles in mid-20th-century films.
  • 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.