Triple

T7724873
Position Surface form Disambiguated ID Type / Status
Subject Off the Map E175103 entity
Predicate hasContributor P4244 FINISHED
Object Mark Suter E291659 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: Mark Suter | Statement: [Off the Map, hasContributor, Mark Suter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Suter
Context triple: [Off the Map, hasContributor, Mark Suter]
  • A. Mark Suter chosen
    Mark Suter is a percussionist known for his work in contemporary and world music, including performances with the Silk Road Ensemble.
  • B. Keith Suter
    Keith Suter is an Australian-based futurist, international affairs analyst, and media commentator known for his work on global politics, conflict resolution, and strategic foresight.
  • C. Joe Suter
    Joe Suter is an individual notable enough to be recognized as a bearer of the surname Suter, though specific widely known achievements or roles are not clearly documented.
  • D. Dan Knechtges
    Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
  • E. Brian Sipe
    Brian Sipe is a former NFL quarterback best known for his MVP-winning 1980 season with the Cleveland Browns as leader of the "Kardiac Kids."
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e581d4e881908c88d55364a5e014 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 4:05 p.m.