Triple

T10909004
Position Surface form Disambiguated ID Type / Status
Subject Anne Mulcahy E257643 entity
Predicate boardMemberOf P10 FINISHED
Object Johnson & Johnson E8888 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: Johnson & Johnson | Statement: [Anne Mulcahy, boardMemberOf, Johnson & Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnson & Johnson
Context triple: [Anne Mulcahy, boardMemberOf, Johnson & Johnson]
  • A. Johnson & Johnson chosen
    Johnson & Johnson is a multinational healthcare conglomerate best known for its pharmaceuticals, medical devices, and consumer health products.
  • B. Abbott Laboratories
    Abbott Laboratories is a global healthcare company that develops and manufactures medical devices, diagnostics, branded generic medicines, and nutritional products.
  • C. 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.
  • D. A.H. Robins Company
    A.H. Robins Company was an American pharmaceutical and consumer products manufacturer best known for brands like ChapStick and Robitussin.
  • E. Merck & Co.
    Merck & Co. is a major American pharmaceutical company known for developing and producing vaccines, oncology drugs, and other innovative medicines.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706824d08190ba894d144cc6b3ba completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.