Triple

T20188609
Position Surface form Disambiguated ID Type / Status
Subject Schumacher E492925 entity
Predicate hasNotableBearer P458 FINISHED
Object Thomas Schumacher NE NERFINISHED

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: Thomas Schumacher | Statement: [Schumacher, hasNotableBearer, Thomas Schumacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Schumacher
Context triple: [Schumacher, hasNotableBearer, Thomas Schumacher]
  • A. Thomas Schumacher chosen
    Thomas Schumacher is an American theatrical producer and former Disney executive best known for overseeing major animated films and leading Disney Theatrical Productions on Broadway.
  • B. Mark Steven Johnson
    Mark Steven Johnson is an American screenwriter and director best known for writing and directing films such as "Grumpy Old Men," "Daredevil," and "Ghost Rider."
  • C. Greg Amsinger
    Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
  • D. Grant Eckman
    Grant Eckman is a performer associated with the band Scavenger, contributing to its musical and stage presence.
  • E. Frank Richter
    Frank Richter is a relatively common personal name shared by multiple individuals, including professionals in fields such as politics, academia, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad404508190981cfb7cab18d8d3 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.