Triple
T21843247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sihung Lung |
E539306
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sihung Lung |
—
|
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: Sihung Lung | Statement: [Sihung Lung, name, Sihung Lung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sihung Lung Context triple: [Sihung Lung, name, Sihung Lung]
-
A.
Sihung Lung
chosen
Sihung Lung was a Taiwanese actor best known for his frequent collaborations with director Ang Lee, often portraying dignified patriarchal figures in acclaimed films.
-
B.
Hikong K’fo-i
Hikong K’fo-i is one of the scenic waterfalls within the Lake Sebu area in South Cotabato, Philippines, known for its natural beauty and cultural significance to the T’boli people.
-
C.
Pai Mei
Pai Mei is a legendary, ruthless martial arts master in Quentin Tarantino’s Kill Bill saga, known for his brutal training methods and near-mythic fighting skills.
-
D.
Sima Kang
Sima Kang was a historical figure associated with the compilation of the Chinese chronicle Zizhi Tongjian, contributing to its editorial work.
-
E.
Thiệu Long
Thiệu Long was an imperial era name used during the Vietnamese Trần dynasty to designate a specific reign period.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.