Triple
T20561913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie Beacham |
E504862
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tenko |
—
|
NE NERFINISHED |
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: Tenko | Statement: [Stephanie Beacham, notableWork, Tenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenko Context triple: [Stephanie Beacham, notableWork, Tenko]
-
A.
Tenko
chosen
Tenko is a British television drama series set in a World War II Japanese internment camp for women, known for its intense character-driven storytelling and ensemble cast.
-
B.
Tenryaku
Tenryaku was a Japanese era of the mid-Heian period, notable for its association with Emperor Murakami’s reign.
-
C.
Toyako
Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
-
D.
Tsuguko
Tsuguko is a member of the Japanese Imperial Family, known as Princess Tsuguko of Takamado.
-
E.
Tenchō
Tenchō was a Japanese era name (nengō) of the early Heian period, used during the reign of Emperor Junna.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a79ec10481909740eb6a08ae2658 |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.