Triple
T4977282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hwang Dong-hyuk |
E111798
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Miss Granny |
E485578
|
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: Miss Granny | Statement: [Hwang Dong-hyuk, wrote, Miss Granny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Granny Context triple: [Hwang Dong-hyuk, wrote, Miss Granny]
-
A.
Miss Granny
chosen
Miss Granny is a popular South Korean comedy-drama film about an elderly woman who mysteriously regains her youthful appearance, leading to humorous and heartfelt consequences.
-
B.
Granny
Granny is a recurring elderly character in the Looney Tunes cartoons, best known as the kindly but sharp-witted owner of Tweety Bird (and often Sylvester’s exasperated caretaker).
-
C.
Grandmama
Grandmama is the eccentric, witch-like matriarch of the Addams family, known for her dark humor, odd potions, and macabre charm.
-
D.
Miss Ruth
Miss Ruth is the stage name of Ruth St. Denis, a pioneering American modern dance innovator and co-founder of the Denishawn School.
-
E.
Grandma
"Grandma" is a 2015 American comedy-drama film starring Lily Tomlin as an irascible poet helping her granddaughter, featuring Laverne Cox in a supporting role.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7231448c8190a5d0a5135a9cfdf1 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c4ecaec8190ab927d1b91258005 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:33 p.m.