Triple

T30423102
Position Surface form Disambiguated ID Type / Status
Subject Siberiade E773949 entity
Predicate screenedAt P3021 FINISHED
Object 1979 Cannes Film Festival
The 1979 Cannes Film Festival was an edition of the prestigious annual international film festival held in Cannes, France, showcasing notable films from around the world and awarding the Palme d'Or.
E1914842 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: 1979 Cannes Film Festival | Statement: [Siberiade, screenedAt, 1979 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: 1979 Cannes Film Festival
Triple: [Siberiade, screenedAt, 1979 Cannes Film Festival]
Generated description
The 1979 Cannes Film Festival was an edition of the prestigious annual international film festival held in Cannes, France, showcasing notable films from around the world and awarding the Palme d'Or.

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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6866596e0819096567c2f7c121936 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798b34b1c8190a4a238c5f3a250d1 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a2799c7c1f8819082c3c849d2647821 completed June 9, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_6a279a7fdfc88190b9aa18cd3b147f7e completed June 9, 2026, 4:45 a.m.
Created at: April 29, 2026, 8:06 p.m.