Triple

T33570769
Position Surface form Disambiguated ID Type / Status
Subject Emily Blunt as Freya the Ice Queen E859892 entity
Predicate alsoKnownAs P39 FINISHED
Object The Ice Queen
The Ice Queen is a powerful, emotionally scarred sorceress who rules over a frozen kingdom in the fantasy film "The Huntsman: Winter's War," portrayed by Emily Blunt.
E2057810 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: The Ice Queen | Statement: [Emily Blunt as Freya the Ice Queen, alsoKnownAs, The Ice Queen]
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: The Ice Queen
Triple: [Emily Blunt as Freya the Ice Queen, alsoKnownAs, The Ice Queen]
Generated description
The Ice Queen is a powerful, emotionally scarred sorceress who rules over a frozen kingdom in the fantasy film "The Huntsman: Winter's War," portrayed by Emily Blunt.

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_69f3497c1d288190a844ea699914e038 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f744799c8190b02ac37eca254ccd completed May 3, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35afdd636081909bd14563ddfdda08 completed June 19, 2026, 9:08 p.m.
NEDg Description generation batch_6a35b255f28881909063d2e7e63449ba completed June 19, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a35b35922848190be1bea039fb4d9c8 completed June 19, 2026, 9:23 p.m.
Created at: May 1, 2026, 1:40 a.m.