Triple
T21719211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBDO |
E536109
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | BBDO Germany |
—
|
NE NERFINISHED |
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: BBDO Germany | Statement: [BBDO, hasSubsidiary, BBDO Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBDO Germany Context triple: [BBDO, hasSubsidiary, BBDO Germany]
-
A.
BBDO
chosen
BBDO is a major global advertising agency network known for creating high-profile, award-winning campaigns for leading brands.
-
B.
DDB Worldwide
DDB Worldwide is a major global advertising agency network known for its creative marketing campaigns and brand-building work across multiple industries.
-
C.
BBH (Bartle Bogle Hegarty)
BBH (Bartle Bogle Hegarty) is a renowned global advertising agency known for its creative, award-winning campaigns for major international brands.
-
D.
Hub McCann
Hub McCann is a gruff, eccentric former adventurer and retired soldier who, alongside his brother, becomes an unlikely mentor and guardian to a young boy in the film "Secondhand Lions."
-
E.
Wunderman
Wunderman is a global marketing and advertising agency known for its data-driven, digital-first campaigns and customer relationship management services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96cc58081908dda09819041b888 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.