Triple

T15566301
Position Surface form Disambiguated ID Type / Status
Subject Virginia Elizabeth Davis E371122 entity
Predicate spouse P13 FINISHED
Object Reza Jarrahy E371127 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: Reza Jarrahy | Statement: [Virginia Elizabeth Davis, spouse, Reza Jarrahy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reza Jarrahy
Context triple: [Virginia Elizabeth Davis, spouse, Reza Jarrahy]
  • A. Reza Jarrahy chosen
    Reza Jarrahy is an Iranian-American craniofacial plastic and reconstructive surgeon who was formerly married to actress Geena Davis.
  • B. Reza Mirkarimi
    Reza Mirkarimi is an acclaimed Iranian film director and screenwriter known for his humanistic dramas and significant contributions to contemporary Iranian cinema.
  • C. Mehdi Bushehri
    Mehdi Bushehri was an Iranian businessman and political figure best known as the husband of Princess Ashraf Pahlavi, twin sister of Mohammad Reza Shah Pahlavi.
  • D. Hossein Vafaei
    Hossein Vafaei is an Iranian professional snooker player known for being the first player from Iran to compete regularly on the World Snooker Tour.
  • E. Nader Faghihzadeh
    Nader Faghihzadeh is an automotive designer best known for his work on BMW roadster models, including the BMW Z4 (E89).
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddd753c8190b51eaef433258081 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67830b4c8190a8c3f2168d8c2ec7 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:10 a.m.