Triple
T9967583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neo |
E195723
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Agent Smith |
E195726
|
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: Agent Smith | Statement: [Neo, enemy, Agent Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agent Smith Context triple: [Neo, enemy, Agent Smith]
-
A.
Agent Smith
chosen
Agent Smith is the primary antagonist of The Matrix franchise, a relentless, self-aware computer program that seeks to eradicate humanity and escape the control of the Matrix.
-
B.
Morpheus
Morpheus is a key leader and mentor figure in The Matrix universe, known for guiding Neo and leading the human resistance against the machines.
-
C.
Agent K
Agent K is a stoic, seasoned alien-fighting operative and one of the main protagonists in the Men in Black franchise, portrayed most famously by Tommy Lee Jones.
-
D.
Agent J
Agent J is one of the main protagonists in the "Men in Black" franchise, a witty and resourceful secret agent who polices extraterrestrial activity on Earth alongside his partner Agent K.
-
E.
T-1000
The T-1000 is a shape-shifting, liquid-metal assassin android and primary antagonist in the film "Terminator 2: Judgment Day."
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71f9d7c8190ac02c53052c1c6ad |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23db701b881909bb986a32df4349b |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.