Triple

T24545242

Position	Surface form	Disambiguated ID	Type / Status
Subject	Studebaker V8 engine	`E607204`	entity
Predicate	usedIn	`P98`	FINISHED
Object	Studebaker Transtar pickup The Studebaker Transtar pickup is a line of mid-1950s to early-1960s American light-duty trucks produced by Studebaker, known for their distinctive styling and durable construction.	`E1638254`	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: Studebaker Transtar pickup | Statement: [Studebaker V8 engine, usedIn, Studebaker Transtar pickup]

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: Studebaker Transtar pickup
Triple: [Studebaker V8 engine, usedIn, Studebaker Transtar pickup]

Generated description

The Studebaker Transtar pickup is a line of mid-1950s to early-1960s American light-duty trucks produced by Studebaker, known for their distinctive styling and durable construction.

Provenance (5 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_69e2c4c9bf94819082d05da6f5c29907`	completed	April 17, 2026, 11:39 p.m.
NER	Named-entity recognition	`batch_69f2a8c84c648190bcc7edc0ac859cb0`	completed	April 30, 2026, 12:56 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0feea8d17c8190912b4efee020af73`	completed	May 22, 2026, 5:50 a.m.
NEDg	Description generation	`batch_6a0fef6feb088190870b41df1edb338e`	completed	May 22, 2026, 5:53 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0ff097dd8881908bb83d84a6581ef7`	completed	May 22, 2026, 5:58 a.m.

Created at: April 18, 2026, 2:26 a.m.