Triple
T20688912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortal Kombat 11 |
E508496
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Baraka
Baraka is a vicious Tarkatan warrior from the Mortal Kombat fighting game series, known for his retractable arm blades and brutal combat style.
|
E1445794
|
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: Baraka | Statement: [Mortal Kombat 11, hasCharacter, Baraka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baraka Context triple: [Mortal Kombat 11, hasCharacter, Baraka]
-
A.
Baraka
Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
-
B.
Shabaka
Shabaka was a Kushite pharaoh of Egypt’s 25th Dynasty, known for reviving traditional Egyptian culture and religion during his reign in the 8th century BCE.
-
C.
El Tahúr
El Tahúr is a popular Mexican ranchera song made famous by legendary singer Vicente Fernández.
-
D.
Mehriyot
Mehriyot is an alternative name for the Mehri language, a Modern South Arabian language spoken by communities in Yemen and Oman.
-
E.
Hudun
Hudun is a town in the Sool region of northern Somalia, serving as a local administrative and commercial center for surrounding rural communities.
- 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: Baraka Triple: [Mortal Kombat 11, hasCharacter, Baraka]
Generated description
Baraka is a vicious Tarkatan warrior from the Mortal Kombat fighting game series, known for his retractable arm blades and brutal combat style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baraka Target entity description: Baraka is a vicious Tarkatan warrior from the Mortal Kombat fighting game series, known for his retractable arm blades and brutal combat style.
-
A.
Baraka
Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
-
B.
Shabaka
Shabaka was a Kushite pharaoh of Egypt’s 25th Dynasty, known for reviving traditional Egyptian culture and religion during his reign in the 8th century BCE.
-
C.
El Tahúr
El Tahúr is a popular Mexican ranchera song made famous by legendary singer Vicente Fernández.
-
D.
Mehriyot
Mehriyot is an alternative name for the Mehri language, a Modern South Arabian language spoken by communities in Yemen and Oman.
-
E.
Hudun
Hudun is a town in the Sool region of northern Somalia, serving as a local administrative and commercial center for surrounding rural communities.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7e226808190bf05b85afb173e36 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d9ca43288190a2be3d4f63141391 |
completed | May 16, 2026, 8:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08da457ee48190ba18b3e34f117e19 |
completed | May 16, 2026, 8:57 p.m. |
Created at: April 16, 2026, 11:56 a.m.