Triple

T37930461
Position Surface form Disambiguated ID Type / Status
Subject The Fat Duck E946201 entity
Predicate notableDish P19483 FINISHED
Object Mock Turtle Soup
Mock Turtle Soup is an elaborate, whimsical dish inspired by Lewis Carroll’s "Alice’s Adventures in Wonderland," famously served at Heston Blumenthal’s restaurant The Fat Duck.
E2248804 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: Mock Turtle Soup | Statement: [The Fat Duck, notableDish, Mock Turtle Soup]
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: Mock Turtle Soup
Triple: [The Fat Duck, notableDish, Mock Turtle Soup]
Generated description
Mock Turtle Soup is an elaborate, whimsical dish inspired by Lewis Carroll’s "Alice’s Adventures in Wonderland," famously served at Heston Blumenthal’s restaurant The Fat Duck.

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_69f76ef3b7248190892fb9706423be7c completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbd96f9d0819097a7e813c4d2f46e completed May 6, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410cdacd348190b3ff8a69076071df completed June 28, 2026, noon
NEDg Description generation batch_6a410dc8b4f881909d93f5de3c979c35 completed June 28, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_6a410e50a2d0819092ce4ff0863ecbc2 completed June 28, 2026, 12:06 p.m.
Created at: May 3, 2026, 4:20 p.m.