Triple

T6003321
Position Surface form Disambiguated ID Type / Status
Subject LLY E133646 entity
Predicate issuerESGFocus P68629 FINISHED
Object pharmaceutical innovation and patient access LITERAL 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: pharmaceutical innovation and patient access | Statement: [LLY, issuerESGFocus, pharmaceutical innovation and patient access]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: issuerESGFocus
Context triple: [LLY, issuerESGFocus, pharmaceutical innovation and patient access]
  • A. issuerFounded
    Indicates that one entity is the organization or person that established or created the other entity at its founding.
  • B. issuerOwnsBusinessesIn
    Indicates that the issuer owns one or more business entities that are located or operate within the specified place.
  • C. issuerOperatesIn
    Indicates that an issuing entity conducts business activities or has operational presence within a specified geographic area or jurisdiction.
  • D. issuerType
    Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
  • E. issuerCEO
    Indicates that the subject entity serves as the chief executive officer (CEO) of the issuer entity.
  • F. None of above. chosen

Provenance (4 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f0f63148190826198281dce3713 completed March 22, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69c049e3316c819087ea635fa7ee8472 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8c5bfc8190b986a7071d1b23e3 completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:06 p.m.