Triple
T14537682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendant Publishing |
E341090
|
entity |
| Predicate | plotElementInEpisode |
P114831
|
FINISHED |
| Object | The Big Salad |
E1045164
|
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 Big Salad | Statement: [Pendant Publishing, plotElementInEpisode, The Big Salad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Salad Context triple: [Pendant Publishing, plotElementInEpisode, The Big Salad]
-
A.
The Big Salad
chosen
"The Big Salad" is an episode of the sitcom Seinfeld, notable for its subplot involving Newman and a comically contentious oversized salad.
-
B.
The Big Meal
The Big Meal is a stage play by Dan LeFranc that traces multiple generations of a family through a series of interconnected restaurant conversations.
-
C.
Crazy Salad
Crazy Salad is a collection of witty, incisive essays by Nora Ephron that explores feminism, women’s lives, and popular culture in the 1970s.
-
D.
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.
-
E.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5ae04881909e7eb766fca33066 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.