Triple

T25412604
Position Surface form Disambiguated ID Type / Status
Subject Samara Morgan E636741 entity
Predicate adoptiveFather P4385 FINISHED
Object Richard Morgan
Richard Morgan is a character in the horror film "The Ring," known as the troubled farmer who, along with his wife, adopted the mysterious and malevolent child Samara Morgan.
E1680883 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: Richard Morgan | Statement: [Samara Morgan, adoptiveFather, Richard Morgan]
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: Richard Morgan
Triple: [Samara Morgan, adoptiveFather, Richard Morgan]
Generated description
Richard Morgan is a character in the horror film "The Ring," known as the troubled farmer who, along with his wife, adopted the mysterious and malevolent child Samara Morgan.

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_69e75db4135881909acc287ebcb7a505 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5b00ec484819082b3cdcccbd933c3 completed May 2, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a108991a0148190a4c97ed30ec6087a completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108a8822448190952d85edaacbc7a8 completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108b70adbc8190b07513a5b3af19cb completed May 22, 2026, 4:59 p.m.
Created at: April 21, 2026, 1:55 p.m.