Triple

T26898029
Position Surface form Disambiguated ID Type / Status
Subject Olaf's Frozen Adventure songs E677945 entity
Predicate hasPart P35 FINISHED
Object That Time of Year
"That Time of Year" is a festive musical number from Disney's animated special Olaf's Frozen Adventure, featuring Olaf as he explores and celebrates various holiday traditions in Arendelle.
E1748377 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: That Time of Year | Statement: [Olaf's Frozen Adventure songs, hasPart, That Time of Year]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: That Time of Year
Triple: [Olaf's Frozen Adventure songs, hasPart, That Time of Year]
Generated description
"That Time of Year" is a festive musical number from Disney's animated special Olaf's Frozen Adventure, featuring Olaf as he explores and celebrates various holiday traditions in Arendelle.

Provenance (5 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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61fad18408190a274a3f7022f3104 completed May 2, 2026, 4 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121ea6462081908cf56bc8cfa77c1e completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a12201aff34819093554f4c49348255 completed May 23, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a122097db648190894ce494a837c538 completed May 23, 2026, 9:48 p.m.
Created at: April 27, 2026, 5:49 a.m.