Triple

T34250156
Position Surface form Disambiguated ID Type / Status
Subject Il Gattopardo (1963 film) E878715 entity
Predicate premiereEvent P1664 FINISHED
Object 1963 Cannes Film Festival
The 1963 Cannes Film Festival was an international film festival held in Cannes, France, showcasing prominent films of the year and serving as a major platform for world cinema.
E2087688 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: 1963 Cannes Film Festival | Statement: [Il Gattopardo (1963 film), premiereEvent, 1963 Cannes Film Festival]
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: 1963 Cannes Film Festival
Triple: [Il Gattopardo (1963 film), premiereEvent, 1963 Cannes Film Festival]
Generated description
The 1963 Cannes Film Festival was an international film festival held in Cannes, France, showcasing prominent films of the year and serving as a major platform for world cinema.

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_69f349b3618481909df955b063f305b2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f712a17adc81908574891b832d1122 completed May 3, 2026, 9:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36d5f166248190a4b8c199f268a6f5 completed June 20, 2026, 6:03 p.m.
NEDg Description generation batch_6a36d8579260819080262fafcf663978 completed June 20, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_6a36d8e5f8688190aaf58dfa57631686 completed June 20, 2026, 6:16 p.m.
Created at: May 1, 2026, 1:56 a.m.