Triple

T37296937
Position Surface form Disambiguated ID Type / Status
Subject The Real Adventures of Jonny Quest E925829 entity
Predicate featuresCharacter P626 FINISHED
Object Jessie Bannon
Jessie Bannon is a central teenage heroine in the animated series "The Real Adventures of Jonny Quest," known for her intelligence, martial arts skills, and role as a key member of the Quest Team.
E2221406 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: Jessie Bannon | Statement: [The Real Adventures of Jonny Quest, featuresCharacter, Jessie Bannon]
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: Jessie Bannon
Triple: [The Real Adventures of Jonny Quest, featuresCharacter, Jessie Bannon]
Generated description
Jessie Bannon is a central teenage heroine in the animated series "The Real Adventures of Jonny Quest," known for her intelligence, martial arts skills, and role as a key member of the Quest Team.

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_69f76eb0f86c819098dee07393e69ec3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5aec70a081909b5badcb0c98a527 completed May 6, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40514989488190873d45fbb36f819c completed June 27, 2026, 10:40 p.m.
NEDg Description generation batch_6a4052740ba08190aadef914c8fc996d completed June 27, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_6a4057ce44a8819099cd8d1e99077184 completed June 27, 2026, 11:07 p.m.
Created at: May 3, 2026, 4:16 p.m.