Triple
T8415922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omnicom Group |
E198729
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Ketchum |
E707512
|
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: Ketchum | Statement: [Omnicom Group, hasSubsidiary, Ketchum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ketchum Context triple: [Omnicom Group, hasSubsidiary, Ketchum]
-
A.
Rogers, Ketchum and Grosvenor
Rogers, Ketchum and Grosvenor was a prominent 19th-century American locomotive manufacturing firm that became known as Rogers Locomotive Works.
-
B.
Weber Shandwick
chosen
Weber Shandwick is a global public relations and communications agency known for its work in corporate, public affairs, and brand communications for major clients worldwide.
-
C.
McCann Erickson
McCann Erickson is a global advertising agency network known for creating major international marketing campaigns for leading brands.
-
D.
Young & Rubicam
Young & Rubicam is a major global advertising agency known for its influential marketing campaigns and long-standing presence in the advertising industry.
-
E.
Ogilvy & Mather
Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
- 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_69cb84c5121081908efa3eca25406d3a |
completed | March 31, 2026, 8:24 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.