Triple
T20688929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortal Kombat 11 |
E508496
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Terminator T-800 |
—
|
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: Terminator T-800 | Statement: [Mortal Kombat 11, hasCharacter, Terminator T-800]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminator T-800 Context triple: [Mortal Kombat 11, hasCharacter, Terminator T-800]
-
A.
Prototype Series 1000 Terminator
The Prototype Series 1000 Terminator is a highly advanced, shape-shifting liquid metal assassin android from the Terminator science fiction franchise.
-
B.
T-800
chosen
The T-800 is a model of cybernetic assassin and soldier from the Terminator franchise, most famously portrayed by Arnold Schwarzenegger as a time-traveling killer robot with a human appearance.
-
C.
T-1000
The T-1000 is a shape-shifting, liquid-metal assassin android and primary antagonist in the film "Terminator 2: Judgment Day."
-
D.
Terminator
Terminator is a landmark science fiction action film franchise centered on time-traveling cyborgs and a future war between humans and machines.
-
E.
Terminator
"Terminator" is a popular Afrobeats song by Ghanaian singer King Promise, known for its smooth melodies and romantic, danceable vibe.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 16, 2026, 11:56 a.m.