Triple
T7054858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Luc Picard |
E164059
|
entity |
| Predicate | favoriteDrink |
P8713
|
FINISHED |
| Object | Earl Grey tea |
E84703
|
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: Earl Grey tea | Statement: [Jean-Luc Picard, favoriteDrink, Earl Grey tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earl Grey tea Context triple: [Jean-Luc Picard, favoriteDrink, Earl Grey tea]
-
A.
Earl Grey
chosen
Earl Grey was a British Whig statesman who served as Prime Minister and is best known for overseeing the passage of the Reform Act 1832 and for having the famous tea blend named after him.
-
B.
Darjeeling tea
Darjeeling tea is a highly prized, aromatic black tea from the Himalayan foothills, celebrated for its delicate flavor, floral notes, and status as the “champagne of teas.”
-
C.
Keemun black tea
Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
-
D.
English Tea
"English Tea" is a whimsical, McCartney-style acoustic song that nostalgically evokes traditional British culture and manners.
-
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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e267664c81909501feb12683a002 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7889ddd488190b1e55828909133eb |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:38 p.m.