Triple

T7226685
Position Surface form Disambiguated ID Type / Status
Subject Schiff E154797 entity
Predicate hasNotableBearer P458 FINISHED
Object Paul Schiff E436190 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 Schiff | Statement: [Schiff, hasNotableBearer, Paul Schiff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Schiff
Context triple: [Schiff, hasNotableBearer, Paul Schiff]
  • A. Paul Schiff chosen
    Paul Schiff is an American film producer known for his work on acclaimed movies such as "Rushmore" and other major studio comedies and dramas.
  • B. Jacob Schiff
    Jacob Schiff was a prominent German-American Jewish banker and philanthropist known for his influential role in American finance and his extensive charitable work in social reform and Jewish causes.
  • C. Gil Goldschein
    Gil Goldschein is a television producer and media executive best known for his work on reality TV series, including projects in the Kardashian franchise.
  • D. Carl Schuhmann
    Carl Schuhmann was a German athlete renowned for winning multiple gold medals in gymnastics and wrestling at the inaugural modern Olympic Games in 1896.
  • E. Paul Preuss
    Paul Preuss is a science fiction author known for his hard-SF novels and collaborations, including work with Arthur C. Clarke.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9de21e081908f30700f6211c5ef completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d38686ac819098705463a65dec87 completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:54 p.m.