Triple
T3240207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elaine Benes |
E67947
|
entity |
| Predicate | appearsInEpisode |
P795
|
FINISHED |
| Object | The Soup Nazi |
E326992
|
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: The Soup Nazi | Statement: [Elaine Benes, appearsInEpisode, The Soup Nazi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Soup Nazi Context triple: [Elaine Benes, appearsInEpisode, The Soup Nazi]
-
A.
The Soup Nazi
chosen
The Soup Nazi is a famously strict and eccentric soup vendor character from the sitcom "Seinfeld," known for his catchphrase "No soup for you!"
-
B.
The Soup
The Soup was a satirical television series on E! that humorously recapped and mocked clips from various reality shows, talk shows, and other pop culture programming.
-
C.
Gourmet Ghetto
Gourmet Ghetto is a renowned Berkeley neighborhood celebrated as a pioneering hub of California cuisine and artisanal food culture.
-
D.
Eater
Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
-
E.
Barefoot Contessa
Barefoot Contessa is a popular Food Network cooking show hosted by Ina Garten, known for its approachable, elegant home-style recipes and entertaining tips.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2774f93448190b8493b457636ae48 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.