Triple
T16457422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Interview |
E399717
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Sook |
E203091
|
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: Sook | Statement: [The Interview, character, Sook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sook Context triple: [The Interview, character, Sook]
-
A.
Sook
chosen
Sook is the elderly, eccentric, and deeply kind cousin who serves as the narrator’s beloved companion in Truman Capote’s autobiographical short story “A Christmas Memory.”
-
B.
Suki
Suki is a feminine given name, often used in English-speaking contexts and associated with figures in entertainment and popular culture.
-
C.
Soo
Soo is a Chinese-American surname notably borne by actress Phillipa Soo, known for originating the role of Eliza Hamilton in the Broadway musical "Hamilton."
-
D.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
E.
Shōkū
Shōkū was a prominent Japanese Buddhist monk of the Kamakura period and a leading disciple of Hōnen who helped develop and spread Pure Land (Jōdo) teachings.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7dfd188190b03e9b4151a4d3d8 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.