Triple

T38544896
Position Surface form Disambiguated ID Type / Status
Subject Somewhere That's Green E924938 entity
Predicate characterOrigin P34184 FINISHED
Object Audrey from Little Shop of Horrors
Audrey from Little Shop of Horrors is the sweet but downtrodden Skid Row shop assistant who dreams of a better, suburban life while caught in an abusive relationship and the chaos surrounding a man-eating plant.
E2274449 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: Audrey from Little Shop of Horrors | Statement: [Somewhere That's Green, characterOrigin, Audrey from Little Shop of Horrors]
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: Audrey from Little Shop of Horrors
Triple: [Somewhere That's Green, characterOrigin, Audrey from Little Shop of Horrors]
Generated description
Audrey from Little Shop of Horrors is the sweet but downtrodden Skid Row shop assistant who dreams of a better, suburban life while caught in an abusive relationship and the chaos surrounding a man-eating plant.

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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd2ed35608190900ea607e1ea2923 completed May 7, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e035391c8190aeb0f9ae822b2269 completed June 29, 2026, 3:02 a.m.
NEDg Description generation batch_6a41e19145f48190a1be014573a35c24 completed June 29, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_6a41e205f6e08190be4ce8b46c8aec9c completed June 29, 2026, 3:09 a.m.
Created at: May 3, 2026, 4:32 p.m.