Triple

T33114459
Position Surface form Disambiguated ID Type / Status
Subject John Waters E847420 entity
Predicate notableWork P4 FINISHED
Object Shock Value
Shock Value is a book by cult filmmaker John Waters in which he shares irreverent essays and anecdotes about his life, career, and fascination with transgressive cinema and culture.
 E2035807 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: Shock Value | Statement: [John Waters, notableWork, Shock Value]
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: Shock Value
Triple: [John Waters, notableWork, Shock Value]
Generated description
Shock Value is a book by cult filmmaker John Waters in which he shares irreverent essays and anecdotes about his life, career, and fascination with transgressive cinema and culture.

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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6ecf6488190970a6852742adb14 completed May 3, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f038b10c8190b44833068e06c87d completed June 19, 2026, 7:31 a.m.
NEDg Description generation batch_6a3500b4d6688190835f83c11c71223e completed June 19, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_6a35011bf48c8190ba70b859a3159c00 completed June 19, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:27 a.m.