Triple
T16585169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Frain |
E402937
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tron: Legacy |
E180055
|
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: Legacy | Statement: [James Frain, notableWork, Tron: Legacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tron: Legacy Context triple: [James Frain, notableWork, Tron: Legacy]
-
A.
Tron: Legacy
chosen
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.
-
B.
Tron: Uprising
Tron: Uprising is an animated science fiction television series set in the digital world of the Tron franchise, following a young program who leads a revolution against a tyrannical regime.
-
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.
Tron: Ares
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.
-
E.
Tronzilla
Tronzilla is a music producer best known for crafting hard-hitting, high-energy tracks in the electronic and hip-hop scenes.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599b057881909fcb8bbb156633a8 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef4f17c819095b3c6f8644b687b |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.