Triple

T29241920
Position Surface form Disambiguated ID Type / Status
Subject Tony Griffin E741335 entity
Predicate notableWork P4 FINISHED
Object The Care Bears Movie VIII
The Care Bears Movie VIII is an animated children's film in the long-running Care Bears franchise, featuring the colorful, magical bears as they embark on another heartwarming adventure promoting friendship and caring.
E1875832 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 Care Bears Movie VIII | Statement: [Tony Griffin, notableWork, The Care Bears Movie VIII]
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 Care Bears Movie VIII
Triple: [Tony Griffin, notableWork, The Care Bears Movie VIII]
Generated description
The Care Bears Movie VIII is an animated children's film in the long-running Care Bears franchise, featuring the colorful, magical bears as they embark on another heartwarming adventure promoting friendship and caring.

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_69f0911dd6fc819097d1abb287016489 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66486470c8190b3895a34deae626a completed May 2, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26614429ac8190a05e1b8a999bdf5e completed June 8, 2026, 6:29 a.m.
NEDg Description generation batch_6a26656a3cdc81908287a8a2145d6cc6 completed June 8, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a266a6610e88190801c2b1101259b84 completed June 8, 2026, 7:08 a.m.
Created at: April 28, 2026, 12:31 p.m.