Triple

T22717839
Position Surface form Disambiguated ID Type / Status
Subject Consumer Healthcare E561780 entity
Predicate hasCompetitor P1375 FINISHED
Object Bayer Consumer Health NE NERFINISHED

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: Bayer Consumer Health | Statement: [Consumer Healthcare, hasCompetitor, Bayer Consumer Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayer Consumer Health
Context triple: [Consumer Healthcare, hasCompetitor, Bayer Consumer Health]
  • A. Perrigo
    Perrigo is a global healthcare company best known for manufacturing and distributing over-the-counter and generic prescription pharmaceuticals, consumer healthcare products, and nutritional items.
  • B. Mylan
    Mylan is a global generic and specialty pharmaceuticals company known for producing a wide range of affordable medicines and healthcare products.
  • C. Reckitt Benckiser
    Reckitt Benckiser is a British multinational consumer goods company best known for its health, hygiene, and home products such as Dettol, Lysol, and Durex.
  • D. Bayer chosen
    Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
  • E. Schering-Plough
    Schering-Plough was a major American pharmaceutical company known for developing prescription medicines, vaccines, and consumer health products before its merger with Merck & Co.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ecbc48190926d16b20b674dbd completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.