Triple
T6129507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Clow |
E136674
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | TBWA Worldwide |
E203723
|
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: TBWA Worldwide | Statement: [Lee Clow, employer, TBWA Worldwide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TBWA Worldwide Context triple: [Lee Clow, employer, TBWA Worldwide]
-
A.
TBWA Worldwide
chosen
TBWA Worldwide is a global advertising agency network known for its disruptive creative campaigns for major brands around the world.
-
B.
Wunderman
Wunderman is a global marketing and advertising agency known for its data-driven, digital-first campaigns and customer relationship management services.
-
C.
BBDO
BBDO is a major global advertising agency network known for creating high-profile, award-winning campaigns for leading brands.
-
D.
Leo Burnett Worldwide
Leo Burnett Worldwide is a globally recognized advertising agency network known for its creative brand campaigns and iconic marketing characters.
-
E.
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.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4c8570819096dc87f0de2a9887 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135cabf808190bbc3ba70eb04126f |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:15 p.m.