Triple

T19559825
Position Surface form Disambiguated ID Type / Status
Subject Paul Schulze E489415 entity
Predicate name P16 FINISHED
Object Paul Schulze E489415 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: Paul Schulze | Statement: [Paul Schulze, name, Paul Schulze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Schulze
Context triple: [Paul Schulze, name, Paul Schulze]
  • A. Paul Schulze chosen
    Paul Schulze is an American character actor best known for his roles in television series such as "Nurse Jackie," "The Sopranos," and "24."
  • B. Paul Schulze
    Paul Schulze was an architect known for his work on notable public buildings, including contributions to major exhibition and museum structures in the United States.
  • C. Thomas Schippers
    Thomas Schippers was an American conductor renowned for his dynamic interpretations of opera and orchestral repertoire, particularly in the mid-20th century.
  • D. Robert Watzke
    Robert Watzke is an American editor and filmmaker best known for his work in film and television and for being married to actress Helen Slater.
  • E. Robert Kulzer
    Robert Kulzer is a German film producer known for his work on commercially successful genre films, including several entries in the Resident Evil franchise.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f731ae48190ade295c15db7f8ed completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae5351f88190943ef5a51c5fc6cb completed May 18, 2026, 6:14 a.m.
Created at: April 10, 2026, 1:42 p.m.