Triple
T8165955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tea |
E190692
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The Tea |
E190692
|
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 Tea | Statement: [The Tea, title, The Tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Tea Context triple: [The Tea, title, The Tea]
-
A.
The Tea
chosen
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.
-
B.
Tea-Bag
"Tea-Bag" is a socially conscious novel by Swedish crime writer Henning Mankell that explores immigration, identity, and marginalization in contemporary Europe.
-
C.
Kerketeas
Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
-
D.
the Teapot
The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
-
E.
Tehatta
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb46680fac81908df134df9bf84915 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf3ed24c8190b4874e63fcaa50a9 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:38 p.m.