Triple
T16850334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lego Ninjago Movie |
E409656
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Nya |
E1151115
|
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: Nya | Statement: [The Lego Ninjago Movie, mainCharacter, Nya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nya Context triple: [The Lego Ninjago Movie, mainCharacter, Nya]
-
A.
Nya
chosen
Nya is a central character in the Lego Ninjago franchise, known as the Water Ninja and sister of Kai.
-
B.
Nye
Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
-
C.
Nayi
Nayi is a lesser-known South Omotic language spoken by a small community in southwestern Ethiopia.
-
D.
Naujaat
Naujaat is a small Inuit community in Nunavut, Canada, located on the Arctic coast at the north end of Roes Welcome Sound.
-
E.
Nutun
Nutun was a prominent Indian film actress celebrated for her nuanced performances and strong female roles in classic Hindi cinema.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b378dda48190ab81d75f2cfe3ab3 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.