Triple
T12008684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cary-Hiroyuki Tagawa |
E285849
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Shang Tsung |
E732866
|
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: Shang Tsung | Statement: [Cary-Hiroyuki Tagawa, characterPortrayed, Shang Tsung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shang Tsung Context triple: [Cary-Hiroyuki Tagawa, characterPortrayed, Shang Tsung]
-
A.
Shang Tsung
chosen
Shang Tsung is a powerful, soul-stealing sorcerer and primary antagonist in the Mortal Kombat fighting game series.
-
B.
Shao Kahn
Shao Kahn is a powerful warlord and primary antagonist in the Mortal Kombat series, known for ruling Outworld and seeking to conquer other realms.
-
C.
Li Kui
Li Kui was an influential ancient Chinese statesman and legalist thinker of the State of Wei, known for pioneering legal and administrative reforms that helped lay the groundwork for later Legalist philosophy.
-
D.
Zexu
Zexu is the given name of Lin Zexu, the prominent Qing dynasty official known for his role in suppressing the opium trade in China.
-
E.
Cung Le
Cung Le is a Vietnamese-American former mixed martial artist and kickboxing champion who transitioned into acting, appearing in action films such as "The Man with the Iron Fists."
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d61a4c81909e6cb6500b61df94 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b1570208190a08c64e028f67d81 |
completed | May 1, 2026, 11:14 a.m. |
Created at: April 8, 2026, 9:46 p.m.