Triple
T8415671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Chiat |
E198723
|
entity |
| Predicate | hasClient |
P734
|
FINISHED |
| Object | Nissan (via Chiat/Day) |
E21556
|
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: Nissan (via Chiat/Day) | Statement: [Jay Chiat, hasClient, Nissan (via Chiat/Day)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissan (via Chiat/Day) Context triple: [Jay Chiat, hasClient, Nissan (via Chiat/Day)]
-
A.
Chiat/Day
Chiat/Day is a pioneering American advertising agency best known for creating Apple’s iconic “1984” Super Bowl commercial and other influential, award-winning campaigns.
-
B.
Nissan Design Europe
Nissan Design Europe is Nissan's London-based European design studio known for creating influential models such as the Nissan Qashqai.
-
C.
Nissan
Nissan is a river in southwestern Sweden that flows through the province of Halland before reaching the Kattegat.
-
D.
Nissan
chosen
Nissan is a major Japanese automobile manufacturer known for producing a wide range of passenger cars, trucks, and electric vehicles sold globally.
-
E.
Saatchi & Saatchi
Saatchi & Saatchi is a global advertising agency network renowned for its creative campaigns and influential role in the modern advertising industry.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e443a08190983d9a0a61e0f781 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0333a3488190ba30d03b1d7bacb1 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.