Triple

T32468873
Position Surface form Disambiguated ID Type / Status
Subject The Wump World E829788 entity
Predicate featuresSpecies P7733 FINISHED
Object Pollutians
Pollutians are an industrial, pollution-causing alien species from the children's book "The Wump World," known for invading and environmentally devastating the peaceful Wumps' planet.
E2007622 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: Pollutians | Statement: [The Wump World, featuresSpecies, Pollutians]
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: Pollutians
Triple: [The Wump World, featuresSpecies, Pollutians]
Generated description
Pollutians are an industrial, pollution-causing alien species from the children's book "The Wump World," known for invading and environmentally devastating the peaceful Wumps' planet.

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_69f3491ee87c81908cbf5890079c2af6 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c35400148190952f711f098ae7a3 completed May 3, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a346697a484819086e8763cc4657cc8 completed June 18, 2026, 9:43 p.m.
NEDg Description generation batch_6a346712d6408190897672c47396895f completed June 18, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_6a3467d8a7c08190a8a3abb44e404478 completed June 18, 2026, 9:49 p.m.
Created at: May 1, 2026, 12:57 a.m.