Triple

T7198744
Position Surface form Disambiguated ID Type / Status
Subject Marina Oswald E168682 entity
Predicate name P16 FINISHED
Object Marina Oswald E168682 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: Marina Oswald | Statement: [Marina Oswald, name, Marina Oswald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marina Oswald
Context triple: [Marina Oswald, name, Marina Oswald]
  • A. Marina Oswald chosen
    Marina Oswald is the Russian-born widow of Lee Harvey Oswald, the accused assassin of U.S. President John F. Kennedy, who became a notable figure in the aftermath of the 1963 assassination.
  • B. Marina Chapelin
    Marina Chapelin is a coastal marina in Varadero, Cuba, serving as a docking and service hub for recreational boats and yachts.
  • C. Marina Wheeler
    Marina Wheeler is a British barrister and writer, known for her work in public law and for her former marriage to politician Boris Johnson.
  • D. Lara Antipova
    Lara Antipova is a central female character in Boris Pasternak's novel "Doctor Zhivago," known for her passionate, tragic love affair with the protagonist, Yuri Zhivago, set against the turmoil of the Russian Revolution.
  • E. Sophia Danko
    Sophia Danko is a young art student and one of the central protagonists in Nicholas Sparks' romance novel "The Longest Ride."
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e92b8bc08190bfcdd34ce42e3448 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfac10c88190ad83da6a137abd27 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:52 p.m.