Triple

T1168568
Position Surface form Disambiguated ID Type / Status
Subject Eli Lilly and Company E24856 entity
Predicate notableProduct P1448 FINISHED
Object Humalog E111048 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: Humalog | Statement: [Eli Lilly and Company, notableProduct, Humalog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humalog
Context triple: [Eli Lilly and Company, notableProduct, Humalog]
  • A. insulin chosen
    Insulin is a peptide hormone produced by the pancreas that regulates blood glucose levels and is essential in the treatment of diabetes.
  • B. Denesuline
    Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
  • C. AutoSyringe insulin pump
    The AutoSyringe insulin pump is an early portable medical device that automatically delivers insulin to diabetic patients, invented by engineer and entrepreneur Dean Kamen.
  • D. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • E. Lucentis
    Lucentis is a prescription anti-VEGF biologic drug used to treat several serious eye diseases, including wet age-related macular degeneration and diabetic macular edema, by inhibiting abnormal blood vessel growth in the retina.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccef84481908864e819884af86c completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668562788190ac5f8d081a46b2ee completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.