Triple
T2125438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Gad |
E46412
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Olaf in Frozen II |
E57859
|
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: Olaf in Frozen II | Statement: [Josh Gad, characterPortrayed, Olaf in Frozen II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olaf in Frozen II Context triple: [Josh Gad, characterPortrayed, Olaf in Frozen II]
-
A.
Frozen II
Frozen II is a 2019 animated musical fantasy film from Disney that continues the story of sisters Anna and Elsa as they uncover the origins of Elsa’s powers and the history of their kingdom.
-
B.
Olaf
chosen
Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
-
C.
Elsa
Elsa is a feminine given name of Germanic origin, widely recognized today through its use for the main character in Disney's animated film "Frozen."
-
D.
Anna and Elsa
Anna and Elsa are the popular sister protagonists from Disney's animated film "Frozen," known for their roles as the Snow Queen and the princess of Arendelle.
-
E.
Frozen
Frozen is a hugely popular 2013 Disney animated musical film that follows two royal sisters, Elsa and Anna, and features the hit song "Let It Go."
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb57bc6881909f04a407beff33a6 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae519ead088190a8a7229d998732de |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.