Triple

T31168065
Position Surface form Disambiguated ID Type / Status
Subject Weatherhouse E794527 entity
Predicate hasTrack P3284 FINISHED
Object Let It Go
"Let It Go" is a song most widely known as the Oscar-winning power ballad from Disney's animated film Frozen, performed by Idina Menzel.
 E49830 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: Let It Go | Statement: [Weatherhouse, hasTrack, Let It Go]
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: Let It Go
Triple: [Weatherhouse, hasTrack, Let It Go]
Generated description
"Let It Go" is a song most widely known as the Oscar-winning power ballad from Disney's animated film Frozen, performed by Idina Menzel.

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_69f224d5b9708190b6ca79ad2fd3a28a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f698534b488190a3bc36a1514fd95a completed May 3, 2026, 12:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29590c75cc8190b98804ad0c892433 completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a295cee2678819093bd95e5da62b0e6 completed June 10, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_6a295da25708819097e1e2894d1aa4f6 completed June 10, 2026, 12:50 p.m.
Created at: April 29, 2026, 9:07 p.m.