Triple

T1353384
Position Surface form Disambiguated ID Type / Status
Subject François Hollande E28932 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: [François Hollande, educatedAt, HEC Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HEC Paris
Context triple: [François Hollande, 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. 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.
  • C. HEC Montréal
    HEC Montréal is a leading French-language business school in Montreal, Canada, renowned for its management education and research.
  • D. Hult International Business School
    Hult International Business School is a private global business school known for its international campuses and practice-oriented business education programs.
  • E. Conférence des grandes écoles
    Conférence des grandes écoles is a French association that groups together the country’s most prestigious higher education institutions, particularly elite engineering and business schools.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26e916c8190b4b324df87f4c121 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6a1dd48190b17ac5a7cf3ab933 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:56 p.m.