Triple

T38371839
Position Surface form Disambiguated ID Type / Status
Subject Roy Mitchell E892605 entity
Predicate basedOn P98 FINISHED
Object Roy Martin Mitchell
Roy Martin Mitchell is the real-life individual whose experiences and identity inspired the character Roy Mitchell.
 E2271325 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: Roy Martin Mitchell | Statement: [Roy Mitchell, basedOn, Roy Martin Mitchell]
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: Roy Martin Mitchell
Triple: [Roy Mitchell, basedOn, Roy Martin Mitchell]
Generated description
Roy Martin Mitchell is the real-life individual whose experiences and identity inspired the character Roy Mitchell.

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_69f76e47cb4c8190bdd92cd1db59c0c5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcccf70540819085eb826fc033c213 completed May 7, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41cc99563881908e305329001dbe44 completed June 29, 2026, 1:38 a.m.
NEDg Description generation batch_6a41ce0a6ae081909a96d33869cfde6b completed June 29, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_6a41ceaec9a48190bd08361fd7b3362b completed June 29, 2026, 1:47 a.m.
Created at: May 3, 2026, 4:31 p.m.