Triple
T12522698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fat City |
E299357
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Walter Thompson |
E319637
|
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: Walter Thompson | Statement: [Fat City, editor, Walter Thompson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Thompson Context triple: [Fat City, editor, Walter Thompson]
-
A.
Walter Thompson
chosen
Walter Thompson is an editor known for his work on the film "Pitfall."
-
B.
J. Walter Thompson
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.
-
C.
J. Walter Thompson Worldwide
J. Walter Thompson Worldwide is one of the oldest and most influential global advertising agencies, known for pioneering many modern advertising practices and campaigns.
-
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.
Georg Benedikt von Ogilvy
Georg Benedikt von Ogilvy was an early 18th-century military commander, best known for his role in the Great Northern War.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.