Triple
T20618961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitram |
E506646
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Nitram |
—
|
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: Nitram | Statement: [Nitram, mainCharacter, Nitram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nitram Context triple: [Nitram, mainCharacter, Nitram]
-
A.
Nitram
chosen
Nitram is a 2021 Australian psychological drama film directed by Justin Kurzel that explores the events leading up to the 1996 Port Arthur massacre.
-
B.
Nitro
Nitro is Acer’s gaming-focused product line known for offering budget-friendly laptops, desktops, and monitors designed for mainstream gamers.
-
C.
Nitro
Nitro is the internal codename used by Nintendo for the development and hardware platform of the Nintendo DS handheld game system.
-
D.
Nitro
Nitro is a high-speed steel hypercoaster at Six Flags Great Adventure known for its towering drops, smooth airtime hills, and open-air seating.
-
E.
Granate
Granate is the popular nickname of Argentine football club Club Atlético Lanús, referencing the club’s traditional maroon-colored kit.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abdf9d7c8190969247a4ae55b781 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:41 a.m.