Triple
T14004156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Tsing-fong |
E336902
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Sodagreen |
E1073215
|
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: Sodagreen | Statement: [Wu Tsing-fong, associatedAct, Sodagreen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sodagreen Context triple: [Wu Tsing-fong, associatedAct, Sodagreen]
-
A.
Sodagreen
chosen
Sodagreen is a popular Taiwanese indie band known for its poetic lyrics, distinctive vocals, and genre-blending pop-rock style.
-
B.
Xiu Xiu
Xiu Xiu is an experimental indie rock band known for its emotionally intense, avant-garde sound and often confrontational lyrics.
-
C.
Tianyou
Tianyou was the final era name of the Tang dynasty, marking its last years before the dynasty’s collapse in the early 10th century.
-
D.
X-Tasy
X-Tasy is a track from Missy Elliott’s 2001 hip hop album "Miss E... So Addictive," known for its futuristic production and club-oriented sound.
-
E.
Blue Yao
Blue Yao is a subgroup of the Yao ethnic minority in China, distinguished by its traditional indigo-dyed clothing and unique cultural customs.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed1d2548190bb46d6b7cba4ffde |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc329891c8190b4dcb9913e235a1c |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.