Triple

T33869889
Position Surface form Disambiguated ID Type / Status
Subject Granny Pig E868170 entity
Predicate firstAppearanceInSeries P4114 FINISHED
Object Peppa Pig season 1
Peppa Pig season 1 is the debut season of the British animated preschool television series that introduces Peppa, her family, and many recurring characters in short, humorous episodes.
E246900 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: Peppa Pig season 1 | Statement: [Granny Pig, firstAppearanceInSeries, Peppa Pig season 1]
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: Peppa Pig season 1
Triple: [Granny Pig, firstAppearanceInSeries, Peppa Pig season 1]
Generated description
Peppa Pig season 1 is the debut season of the British animated preschool television series that introduces Peppa, her family, and many recurring characters in short, humorous episodes.

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_69f34995029081909ede0f7df73d1a5e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f700a6ff548190b98829c0a623b75f completed May 3, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3676260b708190b1fcf57215ed70ab completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a36773ab0488190968578e79939478c completed June 20, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_6a36779906548190bf518d78783fefdd completed June 20, 2026, 11:20 a.m.
Created at: May 1, 2026, 1:47 a.m.