Triple

T13469593
Position Surface form Disambiguated ID Type / Status
Subject Chuck McGill E311592 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: [Chuck McGill, familyName, McGill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McGill
Context triple: [Chuck McGill, 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf21e46081908a00c9acf54f270f completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6442d5c8190820d473073a3c4c6 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:42 p.m.