Triple
T7049335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nun's Story |
E163724
|
entity |
| Predicate | editedBy |
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: [The Nun's Story, editedBy, Walter Thompson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Thompson Context triple: [The Nun's Story, editedBy, 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.
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.
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.
-
E.
Leo Burnett Worldwide
Leo Burnett Worldwide is a globally recognized advertising agency network known for its creative brand campaigns and iconic marketing characters.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e24d5e8c8190b37e56107e6da8ab |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7888bba9c8190b6414b56e5588ec0 |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.