Triple

T23623582

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ed Carpenter Racing	`E583393`	entity
Predicate	primarySponsorHistory	`P35612`	FINISHED
Object	Fuzzy’s Vodka Fuzzy’s Vodka is an American vodka brand founded by golfer Fuzzy Zoeller, known for its association with motorsports and premium corn-based spirits.	`E1595086`	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: Fuzzy’s Vodka | Statement: [Ed Carpenter Racing, primarySponsorHistory, Fuzzy’s Vodka]

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: Fuzzy’s Vodka
Triple: [Ed Carpenter Racing, primarySponsorHistory, Fuzzy’s Vodka]

Generated description

Fuzzy’s Vodka is an American vodka brand founded by golfer Fuzzy Zoeller, known for its association with motorsports and premium corn-based spirits.

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

Target predicate: primarySponsorHistory
Context triple: [Ed Carpenter Racing, primarySponsorHistory, Fuzzy’s Vodka]

A. sponsorHistory chosen
Indicates that one entity has previously acted as a sponsor for another entity or event over time.
B. previousSponsor
Indicates that an entity formerly acted as a sponsor for another entity at some earlier time but no longer does so.
C. previousSponsorshipName
Indicates that an entity had a different sponsorship name in the past, specifying what that prior sponsored name was.
D. formerSponsor
Indicates that an entity previously acted as a sponsor for another entity but no longer holds that sponsoring role.
E. originalSponsor
Indicates that one entity is the initial or primary sponsor responsible for supporting, funding, or backing another entity or activity.
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_69e248fc8d74819091bd5baef2f36f6f`	completed	April 17, 2026, 2:51 p.m.
NER	Named-entity recognition	`batch_69f1b17ae58c8190b7b6cdc57c6ead3a`	completed	April 29, 2026, 7:21 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0f459a8a6c8190adb84828b76962e1`	completed	May 21, 2026, 5:49 p.m.
NEDg	Description generation	`batch_6a0f46faaa5481909c99edb4bdd30049`	completed	May 21, 2026, 5:55 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0f484988d081909280fe863dc80e30`	completed	May 21, 2026, 6 p.m.
PD	Predicate disambiguation	`batch_69f118d0e0588190a86527a7747c5427`	completed	April 28, 2026, 8:30 p.m.

Created at: April 17, 2026, 6:46 p.m.