Triple
T22246868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Bad Moms Christmas |
E549866
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Suzanne Todd |
—
|
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: Suzanne Todd | Statement: [A Bad Moms Christmas, producer, Suzanne Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Todd Context triple: [A Bad Moms Christmas, producer, Suzanne Todd]
-
A.
Suzanne Todd
chosen
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
-
B.
Suzanne Scott
Suzanne Scott is an individual honored as a namesake of the Suzanne and Walter Scott Aquarium, indicating her significant personal or philanthropic connection to that institution.
-
C.
Suzanne Welch
Suzanne "Suzy" Welch is an American author, television commentator, and business journalist known for her work on leadership, management, and career strategy.
-
D.
Suzanne Martin
Suzanne Martin is an American television writer and producer best known for creating the sitcom "Hot in Cleveland."
-
E.
Suzanne Dean
Suzanne Dean is a renowned British book cover designer celebrated for her distinctive, often minimalist literary jacket designs.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13218d1f88190b64b7f301328fa98 |
completed | April 28, 2026, 10:18 p.m. |
Created at: April 16, 2026, 8:38 p.m.