Triple
T8412913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortal Kombat |
E198664
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Shang Tsung
Shang Tsung is a powerful, soul-stealing sorcerer and primary antagonist in the Mortal Kombat fighting game series.
|
E732866
|
NE FINISHED |
How this triple was built (4 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: [Mortal Kombat, notableCharacter, Shang Tsung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shang Tsung Context triple: [Mortal Kombat, notableCharacter, Shang Tsung]
-
A.
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.
-
B.
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."
-
C.
Lord Shen
Lord Shen is the main peacock antagonist in Kung Fu Panda 2, a ruthless and power-obsessed warlord who seeks to conquer China using deadly fireworks-based weaponry.
-
D.
Kain Kong
Kain Kong is a musician best known as a member of the punk rock band The Lookouts.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shang Tsung Triple: [Mortal Kombat, notableCharacter, Shang Tsung]
Generated description
Shang Tsung is a powerful, soul-stealing sorcerer and primary antagonist in the Mortal Kombat fighting game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shang Tsung Target entity description: Shang Tsung is a powerful, soul-stealing sorcerer and primary antagonist in the Mortal Kombat fighting game series.
-
A.
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.
-
B.
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."
-
C.
Lord Shen
Lord Shen is the main peacock antagonist in Kung Fu Panda 2, a ruthless and power-obsessed warlord who seeks to conquer China using deadly fireworks-based weaponry.
-
D.
Kain Kong
Kain Kong is a musician best known as a member of the punk rock band The Lookouts.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0322d1448190aceaf7486c110ff7 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0781859c8190bb92f41c00af459b |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce089d09c08190ba321aed4044a862 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:06 p.m.