Triple

T15907713
Position Surface form Disambiguated ID Type / Status
Subject Virgil Malloy E385763 entity
Predicate worksWith P398 FINISHED
Object Livingston Dell E385765 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: Livingston Dell | Statement: [Virgil Malloy, worksWith, Livingston Dell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livingston Dell
Context triple: [Virgil Malloy, worksWith, Livingston Dell]
  • A. Livingston Dell chosen
    Livingston Dell is a nervous but highly skilled electronics and surveillance expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
  • B. Bella Vista
    Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
  • C. Bella Vista
    Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
  • D. Belle Vista
    Belle Vista is an alternate name for Lambert Castle, a historic 19th-century mansion and museum located in Paterson, New Jersey.
  • E. Fordsburg
    Fordsburg is a historic, culturally diverse suburb of Johannesburg known for its strong Indian and Muslim community, bustling markets, and vibrant street life.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb055307081908a13c98a0e16780c completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.