Triple

T8800685
Position Surface form Disambiguated ID Type / Status
Subject Paul Polman E209398 entity
Predicate name P16 FINISHED
Object Paul Polman E209398 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: Paul Polman | Statement: [Paul Polman, name, Paul Polman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Polman
Context triple: [Paul Polman, name, Paul Polman]
  • A. Paul Polman chosen
    Paul Polman is a Dutch business leader and sustainability advocate best known for his tenure as CEO of Unilever and his prominent role in promoting responsible, long-term capitalism.
  • B. Andrea Immelt
    Andrea Immelt is the wife of former General Electric CEO Jeff Immelt and is known primarily for her role as his spouse in public and professional circles.
  • C. Daniel Töpfer
    Daniel Töpfer is a German local politician who serves as the mayor of the municipality of Weissach in Baden-Württemberg.
  • D. A. G. Lafley
    A. G. Lafley is an American businessman best known for serving as the longtime CEO of Procter & Gamble, where he led major brand expansions and corporate growth.
  • E. Karel De Gucht
    Karel De Gucht is a Belgian liberal politician and former European Commissioner for Trade known for his prominent role in European Union trade policy.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb8aab88190befed16301e08efc completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f6fdd688190bf40bbde0be991e1 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.