Triple
T11990902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Springer |
E285401
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tron: Ares |
E679272
|
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: Tron: Ares | Statement: [Justin Springer, notableWork, Tron: Ares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tron: Ares Context triple: [Justin Springer, notableWork, Tron: Ares]
-
A.
Tron: Ares
chosen
Tron: Ares is an upcoming science-fiction film set in the Tron universe, continuing the franchise’s story of humans interacting with a digital world.
-
B.
Tron: Legacy
Tron: Legacy is a 2010 science-fiction film that continues the story of the original Tron with cutting-edge visual effects and a distinctive electronic score by Daft Punk.
-
C.
Tron
Tron is a pioneering 1982 science fiction film known for its groundbreaking use of computer-generated imagery and its story about a programmer drawn into a digital world inside a computer system.
-
D.
Tronzilla
Tronzilla is a music producer best known for crafting hard-hitting, high-energy tracks in the electronic and hip-hop scenes.
-
E.
Ready Player One
Ready Player One is a science fiction adventure film, based on Ernest Cline’s novel, that explores a high-stakes virtual reality treasure hunt in a dystopian future.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903afe4388190a2cf2328e85adf9b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48abcf2588190a44e6e31e045b356 |
completed | May 1, 2026, 11:13 a.m. |
Created at: April 8, 2026, 9:46 p.m.