Triple
T14570073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gruppo Editoriale Mauri Spagnol |
E341888
|
entity |
| Predicate | hasImprint |
P2763
|
FINISHED |
| Object | Tea |
E770687
|
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: Tea | Statement: [Gruppo Editoriale Mauri Spagnol, hasImprint, Tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tea Context triple: [Gruppo Editoriale Mauri Spagnol, hasImprint, Tea]
-
A.
Tea
chosen
Tea is a widely consumed beverage made by steeping processed leaves of the Camellia sinensis plant in hot water, known for its variety of flavors, caffeine content, and cultural significance worldwide.
-
B.
Chai
Chai is the guitar-wielding, rhythm-obsessed main hero of the action-rhythm game Hi-Fi Rush, known for battling enemies in sync with the music.
-
C.
Chai
Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
-
D.
The Tea
The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
-
E.
Green Tea
"Green Tea" is a gothic short story by Sheridan Le Fanu that follows a clergyman haunted by a demonic monkey, exploring themes of madness, the supernatural, and psychological terror.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f2121481908f2385637944785d |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac858108190b7c90130f18b0ddb |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.