Triple

T3052993
Position Surface form Disambiguated ID Type / Status
Subject Pascal Lamy E60413 entity
Predicate educatedAt P5 FINISHED
Object HEC Paris E117497 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: HEC Paris | Statement: [Pascal Lamy, educatedAt, HEC Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HEC Paris
Context triple: [Pascal Lamy, educatedAt, HEC Paris]
  • A. HEC Paris chosen
    HEC Paris is a prestigious French business school renowned for its elite management education, influential alumni network, and leading role in European and global business education.
  • B. ESSEC Business School
    ESSEC Business School is a leading French grande école and international business school renowned for its elite management programs and strong ties to the corporate world.
  • C. INSEAD
    INSEAD is a leading global business school renowned for its international MBA and executive education programs, with campuses in Europe, Asia, the Middle East, and North America.
  • D. HEC Montréal
    HEC Montréal is a leading French-language business school in Montreal, Canada, renowned for its management education and research.
  • E. IESE Business School
    IESE Business School is a leading global graduate business school based in Barcelona, Spain, renowned for its MBA and executive education programs and its affiliation with the University of Navarra.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf3c52c8190bbe8e5cb98c21715 completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eefd3860819085cefea633b5dca9 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.