Triple
T8035062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Mountfort |
E187085
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | J. Walter Thompson |
E55007
|
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: J. Walter Thompson | Statement: [Guy Mountfort, employer, J. Walter Thompson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. Walter Thompson Context triple: [Guy Mountfort, employer, J. Walter Thompson]
-
A.
J. Walter Thompson
chosen
J. Walter Thompson is one of the world's oldest and most influential advertising agencies, known for pioneering modern advertising practices and global brand campaigns.
-
B.
Walter Thompson
Walter Thompson is an editor known for his work on the film "Pitfall."
-
C.
Young & Rubicam
Young & Rubicam is a major global advertising agency known for its influential marketing campaigns and long-standing presence in the advertising industry.
-
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.
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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef50f4c8190a895ac301f182734 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56f493908190b68e791cdbe725fa |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.