Triple
T8214466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Saatchi |
E191900
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | M&C Saatchi |
E556343
|
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: M&C Saatchi | Statement: [Charles Saatchi, founded, M&C Saatchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M&C Saatchi Context triple: [Charles Saatchi, founded, M&C Saatchi]
-
A.
Saatchi & Saatchi
chosen
Saatchi & Saatchi is a global advertising agency network renowned for its creative campaigns and influential role in the modern advertising industry.
-
B.
Ogilvy & Mather
Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
-
C.
McCann Erickson
McCann Erickson is a global advertising agency network known for creating major international marketing campaigns for leading brands.
-
D.
Wolff Olins
Wolff Olins is a global brand consultancy known for creating bold and sometimes controversial visual identities for major organizations and events.
-
E.
Leo Burnett Worldwide
Leo Burnett Worldwide is a globally recognized advertising agency network known for its creative brand campaigns and iconic marketing characters.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb776c5cd081908259b1c3d12285de |
completed | March 31, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34c010b48190b564fd365a5304d1 |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:44 p.m.