Triple

T34575837

Position	Surface form	Disambiguated ID	Type / Status
Subject	Chief Executive Officer of PetMeds	`E887748`	entity
Predicate	jurisdictionOfEmployer	`P79449`	FINISHED
Object	NASDAQ: PETS NASDAQ: PETS is the stock ticker for PetMed Express, Inc., an online pet pharmacy that sells prescription and non-prescription pet medications and related products.	`E2103066`	NE FINISHED

How this triple was built (3 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: NASDAQ: PETS | Statement: [Chief Executive Officer of PetMeds, jurisdictionOfEmployer, NASDAQ: PETS]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: NASDAQ: PETS
Triple: [Chief Executive Officer of PetMeds, jurisdictionOfEmployer, NASDAQ: PETS]

Generated description

NASDAQ: PETS is the stock ticker for PetMed Express, Inc., an online pet pharmacy that sells prescription and non-prescription pet medications and related products.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: jurisdictionOfEmployer
Context triple: [Chief Executive Officer of PetMeds, jurisdictionOfEmployer, NASDAQ: PETS]

A. jurisdictionOfEmployment
Indicates the legal or geographic jurisdiction under whose laws or authority an employment relationship is established or governed.
B. organizationJurisdiction chosen
Indicates the legal or administrative area (such as a country, state, or city) within whose authority an organization operates or is governed.
C. definedJurisdictionOf
Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
D. countryOfJurisdiction
Indicates the country whose legal authority or jurisdiction governs or applies to a given entity, action, or arrangement.
E. countryOfHeadquartersOfEmployer
Indicates the country where the employing organization’s main headquarters is located.
F. None of above.

Provenance (6 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_69f349d1a5fc81908557a46875b2f157`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f7234bcaa48190ac970759d34e254a`	completed	May 3, 2026, 10:28 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3736323418819092ec4ee55ea9a991`	completed	June 21, 2026, 12:54 a.m.
NEDg	Description generation	`batch_6a37372aa9608190a607c9b4d0c4f978`	completed	June 21, 2026, 12:58 a.m.
NED2	Entity disambiguation (via description)	`batch_6a373a7631588190a8fb371e7e7338ac`	completed	June 21, 2026, 1:12 a.m.
PD	Predicate disambiguation	`batch_69f72155c48881909bd40b9aa3febd5a`	completed	May 3, 2026, 10:20 a.m.

Created at: May 1, 2026, 2:03 a.m.