Triple

T10502721
Position Surface form Disambiguated ID Type / Status
Subject Abbott Vascular E247710 entity
Predicate parentOrganization P254 FINISHED
Object Abbott Laboratories E49343 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: Abbott Laboratories | Statement: [Abbott Vascular, parentOrganization, Abbott Laboratories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbott Laboratories
Context triple: [Abbott Vascular, parentOrganization, Abbott Laboratories]
  • A. Abbott Laboratories chosen
    Abbott Laboratories is a global healthcare company that develops and manufactures medical devices, diagnostics, branded generic medicines, and nutritional products.
  • B. Pharmaceutical Research and Manufacturers of America
    Pharmaceutical Research and Manufacturers of America is a major U.S. trade association representing leading biopharmaceutical and drug research companies.
  • C. Abbott
    Abbott is a masculine given name of English origin, historically associated with clerical or religious roles.
  • D. Abbott
    Abbott is a common English surname borne by numerous notable individuals across fields such as politics, entertainment, science, and business.
  • E. Johnson & Johnson
    Johnson & Johnson is a multinational healthcare conglomerate best known for its pharmaceuticals, medical devices, and consumer health products.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099c6a848190bf1d5361e9e61108 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b3d6f6c81908d8247da9d9caab2 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:25 p.m.