Triple

T36893199
Position Surface form Disambiguated ID Type / Status
Subject Peter Lord E911811 entity
Predicate notableWork P4 FINISHED
Object The Amazing Adventures of Morph
The Amazing Adventures of Morph is a British claymation children's television series featuring the mischievous plasticine character Morph in short, humorous adventures.
E2203107 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 Amazing Adventures of Morph | Statement: [Peter Lord, notableWork, The Amazing Adventures of Morph]
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 Amazing Adventures of Morph
Triple: [Peter Lord, notableWork, The Amazing Adventures of Morph]
Generated description
The Amazing Adventures of Morph is a British claymation children's television series featuring the mischievous plasticine character Morph in short, humorous adventures.

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_69f76e8335908190b77e7e11d0e80820 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd8c70388190b6e63d110dfcf7ed completed May 5, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfaf6a1408190b6c48904c7ff0413 completed June 26, 2026, 4:07 a.m.
NEDg Description generation batch_6a3dfe74a990819090ea0325e6e3f86c completed June 26, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a3e0675bf388190b85f43e22fbbbd5f completed June 26, 2026, 4:56 a.m.
Created at: May 3, 2026, 4:13 p.m.