Triple

T35385915
Position Surface form Disambiguated ID Type / Status
Subject Black Phillip E1022791 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Jonas
Jonas is a character connected to the demonic goat figure Black Phillip from the horror film "The Witch."
E2138903 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: Jonas | Statement: [Black Phillip, associatedWithCharacter, Jonas]
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: Jonas
Triple: [Black Phillip, associatedWithCharacter, Jonas]
Generated description
Jonas is a character connected to the demonic goat figure Black Phillip from the horror film "The Witch."

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_69f76df28d8c819089f2c5799fe7d079 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f794f50080819095ff3c2cefc74fea completed May 3, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382cc00f48819090a20c44782cc1f9 completed June 21, 2026, 6:26 p.m.
NEDg Description generation batch_6a382d58e2b48190a1070bedf3aa5fff completed June 21, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_6a382e1f37188190ac188d12cc6dce07 completed June 21, 2026, 6:31 p.m.
Created at: May 3, 2026, 4:03 p.m.