Triple

T10604395
Position Surface form Disambiguated ID Type / Status
Subject Saul Goodman E275834 entity
Predicate familyName P18 FINISHED
Object McGill E430160 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: McGill | Statement: [Saul Goodman, familyName, McGill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McGill
Context triple: [Saul Goodman, familyName, McGill]
  • A. McGill chosen
    McGill is a Scottish-origin surname borne by various notable individuals across fields such as acting, sports, and academia.
  • B. McGill University
    McGill University is a leading public research university in Montreal, Canada, renowned for its strong academic programs, global reputation, and membership in major research-intensive university associations.
  • C. McMaster
    McMaster is a surname most prominently associated with Henry McMaster, the Republican governor of South Carolina.
  • D. McMaster University
    McMaster University is a major Canadian public research university in Hamilton, Ontario, renowned for its innovative problem-based learning approach and strong programs in health sciences, engineering, and research-intensive disciplines.
  • E. Université de Montréal
    Université de Montréal is a major French-language public research university in Montreal, Canada, renowned for its contributions to fields such as artificial intelligence and deep learning.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4992248190b640d743ccf02c82 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69e2d65fc0948190af4356fc9f5004bb completed April 18, 2026, 12:54 a.m.
Created at: April 8, 2026, 7:32 p.m.