Triple

T21900235
Position Surface form Disambiguated ID Type / Status
Subject Winter's Tale E540787 entity
Predicate settingLocation P40 FINISHED
Object Lake of the Coheeries
Lake of the Coheeries is a fictional, mystical lakeside community in Mark Helprin’s novel "Winter’s Tale," known for its otherworldly qualities and central role in the story’s magical realism.
E1609312 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: Lake of the Coheeries | Statement: [Winter's Tale, settingLocation, Lake of the Coheeries]
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: Lake of the Coheeries
Triple: [Winter's Tale, settingLocation, Lake of the Coheeries]
Generated description
Lake of the Coheeries is a fictional, mystical lakeside community in Mark Helprin’s novel "Winter’s Tale," known for its otherworldly qualities and central role in the story’s magical realism.

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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fca2bf88190b2a5b912aa102513 completed April 28, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0f75df2518819085c5f0dc001de791 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f76f167d08190a9e4d3abc3cc4545 completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c456dc8190869c04d4a5c00ceb completed May 21, 2026, 9:27 p.m.
Created at: April 16, 2026, 7:07 p.m.