Triple
T4386685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Matrix Revolutions |
E99259
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Neo |
E195723
|
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: Neo | Statement: [The Matrix Revolutions, mainCharacter, Neo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neo Context triple: [The Matrix Revolutions, mainCharacter, Neo]
-
A.
Neo
chosen
Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
-
B.
Nu
Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
-
C.
Neste
Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
-
D.
Nova
Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
-
E.
Neil
Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352669f608190b3aa7030d8073e04 |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e52a0488819081fe724d592d8fdf |
completed | March 14, 2026, 10:46 p.m. |
Created at: March 12, 2026, 11:19 p.m.