Triple

T20120766
Position Surface form Disambiguated ID Type / Status
Subject The Mountain of the Cannibal God E490599 entity
Predicate screenwriter P2831 FINISHED
Object Cesare Frugoni
Cesare Frugoni was an Italian screenwriter known for his work on genre films, including the 1978 adventure-horror movie "The Mountain of the Cannibal God."
E2283898 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: Cesare Frugoni | Statement: [The Mountain of the Cannibal God, screenwriter, Cesare Frugoni]
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: Cesare Frugoni
Triple: [The Mountain of the Cannibal God, screenwriter, Cesare Frugoni]
Generated description
Cesare Frugoni was an Italian screenwriter known for his work on genre films, including the 1978 adventure-horror movie "The Mountain of the Cannibal God."

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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673e79dc81908fbd387c067fce79 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a43093ab65081909b14f6173b60b5b2 completed June 30, 2026, 12:09 a.m.
NEDg Description generation batch_6a430f33ae288190a102127c8ef207ff completed June 30, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_6a430f91f3e48190b2b3aa15f6deb802 completed June 30, 2026, 12:36 a.m.
Created at: April 11, 2026, 11:30 p.m.