Triple
T38117728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldsmobile 98 Holiday coupe |
E951836
|
entity |
| Predicate | relatedModel |
P37
|
FINISHED |
| Object |
Oldsmobile Starfire
The Oldsmobile Starfire was a sporty, upscale model produced by Oldsmobile in the 1960s and again in the 1970s–80s, known for its performance-oriented features and distinctive styling within General Motors’ lineup.
|
E2255620
|
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: Oldsmobile Starfire | Statement: [Oldsmobile 98 Holiday coupe, relatedModel, Oldsmobile Starfire]
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: Oldsmobile Starfire Triple: [Oldsmobile 98 Holiday coupe, relatedModel, Oldsmobile Starfire]
Generated description
The Oldsmobile Starfire was a sporty, upscale model produced by Oldsmobile in the 1960s and again in the 1970s–80s, known for its performance-oriented features and distinctive styling within General Motors’ lineup.
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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc45c6949c8190b04fe9acc287cfdd |
completed | May 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41681db73c8190ace03f0247098f1f |
completed | June 28, 2026, 6:29 p.m. |
| NEDg | Description generation | batch_6a4168a5f9e4819098855498d00c6df1 |
completed | June 28, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4169269f7c819094a3dbf98f6bf01c |
completed | June 28, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.