Triple

T35952228
Position Surface form Disambiguated ID Type / Status
Subject Pontiac dealerships E1039760 entity
Predicate soldModel P184269 FINISHED
Object Pontiac Sunbird
The Pontiac Sunbird was a compact car produced by General Motors under the Pontiac brand, offered primarily in the 1970s through the 1990s as an affordable, sporty small vehicle.
E2178757 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: Pontiac Sunbird | Statement: [Pontiac dealerships, soldModel, Pontiac Sunbird]
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: Pontiac Sunbird
Triple: [Pontiac dealerships, soldModel, Pontiac Sunbird]
Generated description
The Pontiac Sunbird was a compact car produced by General Motors under the Pontiac brand, offered primarily in the 1970s through the 1990s as an affordable, sporty small vehicle.

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_69f76e25ea488190b7cee970b3e70382 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b1bdc38c8190aff196b890b45979 completed May 3, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d6680548190a8ba67dfee47839e completed June 22, 2026, 6:22 p.m.
NEDg Description generation batch_6a398479872081908a23fc3a0add826e completed June 22, 2026, 6:52 p.m.
NED2 Entity disambiguation (via description) batch_6a3984cbce008190bb018c2fb45402cf completed June 22, 2026, 6:54 p.m.
Created at: May 3, 2026, 4:07 p.m.