Triple
T1518486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen |
E32172
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Prince Hans |
E75878
|
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: Prince Hans | Statement: [Frozen, antagonist, Prince Hans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Hans Context triple: [Frozen, antagonist, Prince Hans]
-
A.
Hans
chosen
Hans is a masculine given name of Germanic origin commonly used in Germanic and Scandinavian countries.
-
B.
Prince Charming
Prince Charming is the idealized fairytale prince known for rescuing and marrying Cinderella in the classic Disney story.
-
C.
Olaf
Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
-
D.
Prince Valdemar of Denmark
Prince Valdemar of Denmark was a Danish prince and naval officer of the late 19th and early 20th centuries, known as the youngest son of King Christian IX and Queen Louise and for his close ties to several European royal families.
-
E.
Henrik
Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907ed44ac8190953e428c831e24df |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2346e7b481909c105a969724591d |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:26 p.m.