Triple

T9983298
Position Surface form Disambiguated ID Type / Status
Subject Con Air E196505 entity
Predicate starring P1507 FINISHED
Object Ving Rhames E137429 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: Ving Rhames | Statement: [Con Air, starring, Ving Rhames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ving Rhames
Context triple: [Con Air, starring, Ving Rhames]
  • A. Ving Rhames chosen
    Ving Rhames is an American actor best known for his deep voice and memorable roles in films such as the Mission: Impossible series and Pulp Fiction.
  • B. Courtney B. Vance
    Courtney B. Vance is an American actor known for his acclaimed work in film, television, and theater, including roles in projects like "The People v. O. J. Simpson: American Crime Story" and "Law & Order: Criminal Intent."
  • C. Aldis Hodge
    Aldis Hodge is an American actor known for his versatile film and television roles, including prominent performances in projects like "Leverage," "One Night in Miami...," and "Black Adam."
  • D. Terrence Howard
    Terrence Howard is an American actor and singer known for his roles in films like "Hustle & Flow" and the TV series "Empire."
  • E. Jeffrey Wright
    Jeffrey Wright is an acclaimed American actor known for his versatile performances in film, television, and theater, including roles in projects like "Angels in America," the "Hunger Games" series, and "Westworld."
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257f3c59481909b90896be0f3a870 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.