Triple
T9137550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Wolff |
E219239
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Wolff Olins |
E42208
|
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: Wolff Olins | Statement: [Michael Wolff, associatedWith, Wolff Olins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolff Olins Context triple: [Michael Wolff, associatedWith, Wolff Olins]
-
A.
Wolff Olins
chosen
Wolff Olins is a global brand consultancy known for creating bold and sometimes controversial visual identities for major organizations and events.
-
B.
Saatchi & Saatchi
Saatchi & Saatchi is a global advertising agency network renowned for its creative campaigns and influential role in the modern advertising industry.
-
C.
Leo Burnett Worldwide
Leo Burnett Worldwide is a globally recognized advertising agency network known for its creative brand campaigns and iconic marketing characters.
-
D.
Ogilvy & Mather
Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
-
E.
Young & Rubicam
Young & Rubicam is a major global advertising agency known for its influential marketing campaigns and long-standing presence in the 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8efe3b88190a55a15827e6817a4 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05bf5534c8190894c2d8376764876 |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:19 p.m.