Triple
T5229931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouthful of Cavities |
E118082
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | Soup |
E118077
|
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: Soup | Statement: [Mouthful of Cavities, partOfAlbum, Soup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soup Context triple: [Mouthful of Cavities, partOfAlbum, Soup]
-
A.
Soup
chosen
Soup is the second studio album by American rock band Blind Melon, known for its eclectic alternative rock sound and its release shortly before the death of lead singer Shannon Hoon.
-
B.
Chowder
Chowder is an American animated television series created by C. H. Greenblatt that follows the misadventures of a young apprentice chef in the whimsical city of Marzipan.
-
C.
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.
-
D.
La Soupe
La Soupe is a somber, monochromatic painting by Pablo Picasso that exemplifies the emotional depth and social themes of his Blue Period.
-
E.
Lasagne
Lasagne is a lightweight Python library for building and training neural networks, designed to run on top of the Theano deep learning framework.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ae006ec8190abd23f650ca5bf53 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe604a848190a3f6cc90185b3ca2 |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:48 p.m.