Triple

T9983458
Position Surface form Disambiguated ID Type / Status
Subject Species II E196508 entity
Predicate hasCastMember P2308 FINISHED
Object George Dzundza E226096 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: George Dzundza | Statement: [Species II, hasCastMember, George Dzundza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Dzundza
Context triple: [Species II, hasCastMember, George Dzundza]
  • A. George Dzundza chosen
    George Dzundza is an American actor known for his character roles in film and television, including appearances in movies like "The Deer Hunter" and series such as "Law & Order."
  • B. Alvin Mentian Kamara
    Alvin Mentian Kamara is an American professional football running back in the NFL, best known for his dynamic playmaking ability with the New Orleans Saints.
  • C. Prince Dimitri Jorjadze
    Prince Dimitri Jorjadze was a Georgian nobleman, race car driver, and horse breeder who became part of European and American high society in the mid-20th century.
  • D. Joseph Alaverdeli
    Joseph Alaverdeli was a Georgian Orthodox monk and missionary credited with establishing the historic Alaverdi Monastery in eastern Georgia.
  • E. Joseph Modayil
    Joseph Modayil is a researcher in artificial intelligence and reinforcement learning, known for co-authoring the influential Rainbow DQN algorithm that combines multiple DQN improvements into a single unified agent.
  • 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.