Triple
T13672944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Café Society |
E327796
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Paul Schneider |
E242666
|
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: Paul Schneider | Statement: [Café Society, starredActor, Paul Schneider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Schneider Context triple: [Café Society, starredActor, Paul Schneider]
-
A.
Paul Schneider
chosen
Paul Schneider is an American actor known for his roles in films such as "The Assassination of Jesse James by the Coward Robert Ford" and the television series "Parks and Recreation."
-
B.
Paul Schneider
Paul Schneider is a film editor known for his work on feature films such as the romantic comedy "I Think I Love My Wife."
-
C.
Philip Schneider
Philip Schneider is an American social venture entrepreneur and film producer best known as the husband of Academy Award–winning actress Hilary Swank.
-
D.
Max Schneider
Max Schneider is an American actor, singer, and songwriter best known for his roles on Nickelodeon and his pop music released under the name MAX.
-
E.
Phillip Schneider
Phillip Schneider is a screenwriter best known for his work on the psychological thriller film "Swimfan."
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.