Triple

T24545243
Position Surface form Disambiguated ID Type / Status
Subject Studebaker V8 engine E607204 entity
Predicate usedIn P98 FINISHED
Object Studebaker Champ pickup
The Studebaker Champ pickup was a compact American pickup truck produced in the early 1960s, notable for its car-like styling and use of existing Studebaker passenger-car components.
 E146841 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 Champ pickup | Statement: [Studebaker V8 engine, usedIn, Studebaker Champ 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 Champ pickup
Triple: [Studebaker V8 engine, usedIn, Studebaker Champ pickup]
Generated description
The Studebaker Champ pickup was a compact American pickup truck produced in the early 1960s, notable for its car-like styling and use of existing Studebaker passenger-car components.

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_6a10ec777d2881908405c781e03d4b8d completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10ef215b448190853f97729867b5fb completed May 23, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a10efcd4df481908ec1f756b7115d2a completed May 23, 2026, 12:07 a.m.
Created at: April 18, 2026, 2:26 a.m.