Triple

T30958954
Position Surface form Disambiguated ID Type / Status
Subject Swomee-Swans E788755 entity
Predicate fictionalUniverse P3758 FINISHED
Object The Lorax universe
The Lorax universe is the whimsical, environmentally themed fictional world created by Dr. Seuss, where colorful creatures and landscapes illustrate the consequences of unchecked industrialization and the importance of conservation.
E222763 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: The Lorax universe | Statement: [Swomee-Swans, fictionalUniverse, The Lorax universe]
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: The Lorax universe
Triple: [Swomee-Swans, fictionalUniverse, The Lorax universe]
Generated description
The Lorax universe is the whimsical, environmentally themed fictional world created by Dr. Seuss, where colorful creatures and landscapes illustrate the consequences of unchecked industrialization and the importance of conservation.

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_69f224c28c1881908c33b45d689f1724 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6934bd47c8190a6d94f2f0b24664c completed May 3, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a291829341081909e1d99686e975f15 completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a29227065dc81908986a1550d906f08 completed June 10, 2026, 8:38 a.m.
NED2 Entity disambiguation (via description) batch_6a2922c886748190989f8a0c0ceb6ea6 completed June 10, 2026, 8:39 a.m.
Created at: April 29, 2026, 8:54 p.m.