Triple
T6622030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Chermayeff |
E149695
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Mobil wordmark |
E88383
|
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: Mobil wordmark | Statement: [Ivan Chermayeff, designed, Mobil wordmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mobil wordmark Context triple: [Ivan Chermayeff, designed, Mobil wordmark]
-
A.
Mobil
chosen
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
B.
Dior wordmark
The Dior wordmark is the iconic, minimalist typographic logo that represents the French luxury fashion house Christian Dior across its products and branding.
-
C.
Bernmobil
Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
-
D.
Marken
Marken is a small, picturesque former island village in the Netherlands known for its traditional wooden houses, fishing heritage, and distinctive cultural character.
-
E.
Monogram
Monogram is a famous mixed-media artwork by Robert Rauschenberg featuring a taxidermied goat encircled by a tire, emblematic of his groundbreaking “combine” paintings that merge painting and sculpture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7ccaa481908b383b4fd671fa78 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e448b00081908b336a2bd7fb3820 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.