Triple

T8725601
Position Surface form Disambiguated ID Type / Status
Subject Magdalene Shaw E207121 entity
Predicate helpsCharacter P7748 FINISHED
Object Owen Shaw E559728 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: Owen Shaw | Statement: [Magdalene Shaw, helpsCharacter, Owen Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owen Shaw
Context triple: [Magdalene Shaw, helpsCharacter, Owen Shaw]
  • A. Owen Shaw chosen
    Owen Shaw is a skilled and ruthless British mercenary and criminal mastermind who serves as a primary antagonist in the Fast & Furious film franchise.
  • B. Owen Davian
    Owen Davian is the ruthless and highly intelligent arms dealer who serves as the primary antagonist in the film "Mission: Impossible III."
  • C. Owen Moran
    Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
  • D. Owen Moore
    Owen Moore was an Irish-born American silent film actor best known for his early Hollywood work and his tumultuous marriage to screen star Mary Pickford.
  • E. Owen Nolan
    Owen Nolan is a retired Canadian right winger known for his power-forward style, five NHL All-Star selections, and long tenure as captain of the San Jose Sharks.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d158b0481908249610458f97306 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42b0f5808190863a1ca3c4e9c8d1 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:36 p.m.