Triple
T11203608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In a Glass Darkly |
E265101
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object | Green Tea |
E265103
|
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: Green Tea | Statement: [In a Glass Darkly, containsWork, Green Tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Tea Context triple: [In a Glass Darkly, containsWork, Green Tea]
-
A.
Green Tea
chosen
"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.
-
B.
Tea
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.
-
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.
Chai
Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
-
E.
Ming Tea
Ming Tea is a fictional 1960s-style rock band fronted by Mike Myers that appears in the Austin Powers film series, including "Austin Powers in Goldmember."
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4972bfbd481908cd0da59389ae17c |
completed | April 19, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.