Triple

T21297043
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Reeve E524951 entity
Predicate siblingOf P363 FINISHED
Object Will 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: Will Reeve | Statement: [Alexandra Reeve, siblingOf, Will Reeve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Reeve
Context triple: [Alexandra Reeve, siblingOf, Will Reeve]
  • A. Will Reeve chosen
    Will Reeve is an American television journalist and the son of late actor Christopher Reeve and Dana Reeve.
  • B. Jeremy Reeves
    Jeremy Reeves is an American songwriter and producer best known as a member of the Grammy-winning production team The Stereotypes, recognized for crafting hits for major pop and R&B artists.
  • C. Jeremy Reeves
    Jeremy Reeves is a musician and producer best known as a member of the songwriting and production team Shampoo Press & Curl.
  • D. Michael Ramsey
    Michael Ramsey was the 100th Archbishop of Canterbury, a prominent 20th-century Anglican church leader and theologian known for his ecumenical work and spiritual writings.
  • E. John Corbett
    John Corbett is an American actor and country music singer best known for his roles in "Sex and the City," "My Big Fat Greek Wedding," and various television and film projects.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.