Triple
T5555727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Hayden |
E145634
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Ogilvy & Mather |
E68896
|
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: Ogilvy & Mather | Statement: [Steve Hayden, employer, Ogilvy & Mather]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogilvy & Mather Context triple: [Steve Hayden, employer, Ogilvy & Mather]
-
A.
Ogilvy & Mather
chosen
Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
-
B.
Young & Rubicam
Young & Rubicam is a major global advertising agency known for its influential marketing campaigns and long-standing presence in the advertising industry.
-
C.
McCann Erickson
McCann Erickson is a global advertising agency network known for creating major international marketing campaigns for leading brands.
-
D.
BBDO
BBDO is a major global advertising agency network known for creating high-profile, award-winning campaigns for leading brands.
-
E.
Wolff Olins
Wolff Olins is a global brand consultancy known for creating bold and sometimes controversial visual identities for major organizations and events.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffc5e7c81908e1c454d3bfd357b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059e7636c819082cc18b1913c08c9 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:36 p.m.